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Job DescriptionJob Description

Italic is creating a world of luxury without labels. We believe that luxury today is exclusionary and all about marketing that hurts its customers and manufacturers. Our mission is to create a new model that enables manufacturers to bypass the legacy luxury supply chain and deliver luxury goods with equivalent or better quality directly to consumers. Our customers come to rely on Italic for our quality, timeless design, and radical value.

Build and maintain our new, flagship consumer products.

You’ll own the shared backend, move fast on green-field features, and push code to production every week.

Your main job will be to code aggressively and ship quickly with AI!

• ­Create and maintain scalable AI and shared services—chat/memory, image/video gen pipelines, chat, etc.

• Build and maintain reusable boilerplates templates across projects

• ­ntegrate LLMs, CV models, and recommender systems into mobile, Unity, and web clients

• tand up reliable infrastructure for payments, rewards, order routing, and analytics

• romote engineering best practices in observability, security, and CI/CD

Requirements

We are hybrid, but you must be ok working on-site downtown Manhattan some days a week.

Must

• You must have meaningful experience coding with AI (Cursor, Claude Code, etc).

• You must be fully fluent and keep up with the latest of the modern AI stack

• 3+ years coding with typescript

Nice to have

• Experience building automation bots or phone automation a plus

• Experience with the Cloudflare dev stack (D1, R2, DO, agent SDK, etc)

• loud & DevOps depth (AWS/GCP, containers, infra-as-code)

• Unity, WebGL/Three.js, e-commerce/payments, or graphics pipelines

• xperience integrating AI in mobile or game environments

• Expo is a strong plus

How we work

• Tiny team

• High autonomy, daily release cadence

• ata-driven iteration and “build it, run it” ownership mindset

• ­Com titive salary and equity with upside in our stealth product

Culture

Great Brands Start With Great People

Our culture focuses on performance, integrity, and longevity. We believe that the best brands are not grown through sheer force but rather through deliberate decision-making and persistent effort over a long period of time. We are committed to creating a workplace where talented individuals can thrive in building an enduring, beloved brand that we all take pride in.

Inputs Over Outputs

We value the effort and work that goes into achieving results rather than just the end result. We believe that investing in our people and processes will lead to better outcomes while also creating a more sustainable and enjoyable environment.

Flat Hierarchy

Our company has a flat hierarchy and values the input and ideas of all team members. We believe that everyone has the potential to make a significant contribution to the success of the company.

Small Team, Big Opportunities

As a small team, all employees are expected to take ownership in their work. Some might move faster while others are fine with a slower pace. Those who seek to move faster in their career will be able to do so based solely on merit, contribution, and performance.

About Night

Night is a next-generation media company representing over 200 of the world's most influential digital creators. We also build creator-first tools and internal products through Night Labs, our product studio. This summer, we're shipping multiple engineering-led products across AI, internal tooling, mobile, and creator infrastructure-and we're looking for a versatile part-time engineer to help us move fast.

About the Role

We're hiring a Part-Time Contract Development Engineer to support several light- to medium-lift builds and integrations across our internal tools and creator platforms. This role is ideal for someone who can context-switch across projects, work independently, and quickly ship clean, functional code.

What You'll Work On

We're a small, fast-moving team tackling a wide range of ambitious problems. Depending on your interests and strengths, you'll have the opportunity to contribute across a spectrum of high-impact work, including:

• Product Engineering
  Build and ship full-stack features across our user-facing products, often from scratch. This could include anything from internal tools and browser extensions to AI-powered interfaces and lightweight consumer apps.
• AI-First Experiences
  Design and implement novel AI-native workflows that blend language models with intuitive UX. You'll have room to experiment, prototype, and iterate quickly on utilities that go from 0→1 fast.
• Systems Integration
  Stitch together APIs, CRMs, and payments infrastructure to create smooth, scalable operational systems. If you enjoy connecting the dots between tools like Stripe, Supabase, Customer.io, and more-there's plenty to do.
• Mobile & Native Development
  Contribute to apps on macOS and iOS using Swift, React Native, or similar frameworks. We're building fluid, thoughtful companion experiences that live close to the user.
• Internal Tools & Infrastructure
  Support the foundations of the company-whether it's automating internal workflows, maintaining lightweight dashboards, or keeping our deployment stack humming. Small tweaks can have outsized leverage here.
• Exploratory Projects
  Jump into early-stage ideas, proof-of-concepts, or short-cycle experiments. Many of our best projects start with someone saying "what if." and then building a prototype the next day.

We're looking for builders-people who are curious, resourceful, and comfortable working across stacks and domains. Whether you're a frontend-focused product thinker or a backend systems generalist, there's room to make an outsized impact.
What We're Looking For

We're seeking a strong full-stack generalist who can move quickly, think independently, and take ownership of projects end-to-end. While we don't expect expertise in every area, the ideal candidate will bring several of the following:

• Deep JavaScript/TypeScript expertise, especially with React, Next.js, Node.js
• An eye for clean UI and experience building fast, responsive interface
• A product-minded approach - you're excited to take vague ideas and turn them into real, shipped features
• Familiarity with AI tools and APIs, and the ability to prototype quickly with LLMs
• Bonus: Light iOS experience (Swift or React Native) or a background in ad tech/attribution systems
• Independent, fast-moving execution - you're reliable, proactive, and thrive with autonomy

Why Work With Us

• Flexible hours and remote-friendly
• Diverse, exciting projects across the creator economy and AI
• Opportunity to grow into a larger or full-time role if there's mutual fit

Italic is creating a world of luxury without labels. We believe that luxury today is exclusionary and all about marketing that hurts its customers and manufacturers. Our mission is to create a new model that enables manufacturers to bypass the legacy luxury supply chain and deliver luxury goods with equivalent or better quality directly to consumers. Our customers come to rely on Italic for our quality, timeless design, and radical value.

Build and maintain our new, flagship consumer products.

You'll own the shared backend, move fast on green-field features, and push code to production every week.

Your main job will be to code aggressively and ship quickly with AI!

• Create and maintain scalable AI and shared services-chat/memory, image/video gen pipelines, chat, etc.
• Build and maintain reusable boilerplates templates across projects
• Integrate LLMs, CV models, and recommender systems into mobile, Unity, and web clients
• Stand up reliable infrastructure for payments, rewards, order routing, and analytics
• Promote engineering best practices in observability, security, and CI/CD

Requirements

We are hybrid, but you must be ok working on-site downtown Manhattan some days a week.

Must

• You must have meaningful experience coding with AI (Cursor, Claude Code, etc).
• You must be fully fluent and keep up with the latest of the modern AI stack
• 3+ years coding with typescript

Nice to have

• Experience building automation bots or phone automation a plus
• Experience with the Cloudflare dev stack (D1, R2, DO, agent SDK, etc)
• Cloud & DevOps depth (AWS/GCP, containers, infra-as-code)
• Unity, WebGL/Three.js, e-commerce/payments, or graphics pipelines
• Experience integrating AI in mobile or game environments
• Expo is a strong plus

How we work

• Tiny team
• High autonomy, daily release cadence
• Data-driven iteration and "build it, run it" ownership mindset
• Competitive salary and equity with upside in our stealth product

Culture

Great Brands Start With Great People

Our culture focuses on performance, integrity, and longevity. We believe that the best brands are not grown through sheer force but rather through deliberate decision-making and persistent effort over a long period of time. We are committed to creating a workplace where talented individuals can thrive in building an enduring, beloved brand that we all take pride in.

Inputs Over Outputs

We value the effort and work that goes into achieving results rather than just the end result. We believe that investing in our people and processes will lead to better outcomes while also creating a more sustainable and enjoyable environment.

Flat Hierarchy

Our company has a flat hierarchy and values the input and ideas of all team members. We believe that everyone has the potential to make a significant contribution to the success of the company.

Small Team, Big Opportunities

As a small team, all employees are expected to take ownership in their work. Some might move faster while others are fine with a slower pace. Those who seek to move faster in their career will be able to do so based solely on merit, contribution, and performance.

At BWX Technologies, Inc. (NYSE: BWXT), we are People Strong, Innovation Driven. Headquartered in Lynchburg, Va., BWXT provides safe and effective nuclear solutions for national security, clean energy, environmental remediation, nuclear medicine and space exploration. With approximately 6,400 employees, BWXT has 12 major operating sites in the U.S. and Canada. We are the sole manufacturer of naval nuclear reactors for U.S. submarines and aircraft carriers. Our company supplies precision manufactured components, services and fuel for the commercial nuclear power industry across four continents. Our joint ventures provide environmental remediation and nuclear operations management at more than a dozen U.S. Department of Energy and NASA facilities. BWXT's technology is driving advances in medical radioisotope production in North America and microreactors for various defense and space applications. Follow us on Twitter at @BWXTech and learn more at .

BWXT's Nuclear Operations Group - Lynchburg is currently seeking a Data Science Engineer for its Lynchburg, VA location!

BWXT's Welding Manufacturing Operations section is seeking a highly skilled Data Scientist to join our Welding Engineering group. This group generates vast amounts of electronic data for a variety of welding processes and applications. This role will be instrumental in setting up data warehouses, monitoring

processes, and advancing Al applications in welding manufacturing operations. The ideal candidate will have expertise in data science, machine learning, and industrial process optimization, with a focus on leveraging Al to enhance welding efficiency, quality and predictive maintenance.

Key Responsibilities:

• Data infrastructure and warehousing

• Design, develop, and maintain data warehouses to store and manage large-scale welding operations data

• Ensure seamless integration of data from various sources, including sensors, PLCs, and production databases

• Implement ETL (Extract, Transform, Load) processes for efficient data extraction and processing

Process Monitoring & Optimization:

• Develop and deploy real-time monitoring systems to track key welding parameters to detect and report anomalies

• Analyze sensor and machine data to improve weld quality, defect detection, and predictive maintenance

• Utilize statistical models, Al, and ML techniques to enhance process control and automation

Al and Machine Learning in Welding Operations:

• Develop Al-driven solutions to predict weld defects, optimize settings, andimprove process consistency

• Implement computer vision techniques for weld quality inspection and automation

• Leverage deep learning and reinforcement learning to optimize robotic welding systems

Data Analytics & Reporting:

• Create dashboards and visualization tools to provide insights into production efficiency and quality

• Perform exploratory data analysis and present findings to engineers, production teams, and leadership

• Assist in root cause analysis by correlating welding data with production outcomes

Collaboration and Continuous Improvement:

• Work closely with welding engineers, automation specialists, and IT teams to enhance manufacturing intelligence

• Remain updated on emerging Al and data science technologies relevant to industrial welding

• Provide guidance on best practices for data governance, security and compliance

Required Qualifications:

• Bachelor's degree in Data Science, Computer Science, Engineering, Statistics or related field

• Must be a US citizen with no dual citizenship

• Must be able to obtain and maintain a U.S. Department of Energy (DOE) clearance CVAA,

Technical Skills:

• Proficiency in Python, R, SQL and big data technologies

• Knowledge or experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) - Knowledge of industrial loT and sensor data processing

• Familiarity with data warehousing tools, e.g., Microsoft SQL Server

• Knowledge or experience with predictive modeling, time-series forecasting, and anomaly detection

• Knowledge or experience in computer vision for industrial applications is a plus

• Dashboard creation with Power BI would be a plus

• Knowledge of web technologies (for example REST APIs) and frameworks (e.g. React, Vue.js) would be a plus

• Knowledge of C# would be a plus

Industry Knowledge & Experience:

• Understanding of welding processes, materials, and quality control (preferred, but not mandatory)

• Previous experience in manufacturing, automation, or industrial analytics is highly desirable, but not mandatory

• Knowledge of Six Sigma, Lean Manufacturing, or process optimization techniques is a plus

Soft skills:

• Strong problem-solving skills with an analytical mindset

• Ability to communicate complex data insights to technical and non-technical stakeholders

• A team player with a collaborative approach to interdisciplinary projects

• Must possess proven ability and willingness to learn new tools

• Must be able to demonstrate superior written, oral, and interpersonal communication skills

• Must be highly self-motivated and directed, with keen attention to detail

Preferred Qualifications :

• Certifications in data science, Al, or cloud computing (AWS Certified Machine Learning, Google Professional Data Engineer, etc.)

• Master's in Data Science Preferred

• Experience with robotic and mechanized welding systems and automation

• Understanding of edge computing for real-time data processing

#LI-TDA

As a federal government contractor, BWX Technologies, Inc. and any subsidiaries, affiliates and related entities ("BWXT" or the "Company") complies with all federal, state, and local laws and customer requirements regarding COVID-19 and other health and safety protocols. As such, all BWXT new hires will be required to adhere to applicable Company COVID-19 requirements within the workplace as a condition of employment.

Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified information or matter. Position requires U.S. citizenship with (no dual citizenship) ability to obtain and maintain a Department of Energy (DOE) security clearance which involves an extensive criminal and financial background investigation, drug test and previous employment reference verifications.

BWXT supports diversity and is committed to the concept of Equal Employment Opportunity. We have established procedures to ensure that all personnel actions such as recruitment, compensation, career development, benefits, company-sponsored training and social recreational programs are administered without regard to race, color, religion, gender, national origin, citizenship, age, disability or veteran status.

At BWX Technologies, Inc. (NYSE: BWXT), we are People Strong, Innovation Driven. Headquartered in Lynchburg, Va., BWXT provides safe and effective nuclear solutions for national security, clean energy, environmental remediation, nuclear medicine and space exploration. With approximately 6,400 employees, BWXT has 12 major operating sites in the U.S. and Canada. We are the sole manufacturer of naval nuclear reactors for U.S. submarines and aircraft carriers. Our company supplies precision manufactured components, services and fuel for the commercial nuclear power industry across four continents. Our joint ventures provide environmental remediation and nuclear operations management at more than a dozen U.S. Department of Energy and NASA facilities. BWXT’s technology is driving advances in medical radioisotope production in North America and microreactors for various defense and space applications. Follow us on Twitter at @BWXTech and learn more at

BWXT’s Nuclear Operations Group - Lynchburg is currently seeking a Data Science Engineer for its Lynchburg, VA location!

BWXT's Welding Manufacturing Operations section is seeking a highly skilled Data Scientist to join our Welding Engineering group. This group generates vast amounts of electronic data for a variety of welding processes and applications. This role will be instrumental in setting up data warehouses, monitoring

processes, and advancing Al applications in welding manufacturing operations. The ideal candidate will have expertise in data science, machine learning, and industrial process optimization, with a focus on leveraging Al to enhance welding efficiency, quality and predictive maintenance.

Key Responsibilities:

• Data infrastructure and warehousing

• Design, develop, and maintain data warehouses to store and manage large-scale welding operations data

• Ensure seamless integration of data from various sources, including sensors, PLCs, and production databases

• Implement ETL (Extract, Transform, Load) processes for efficient data extraction and processing

Process Monitoring & Optimization:

• Develop and deploy real-time monitoring systems to track key welding parameters to detect and report anomalies

• Analyze sensor and machine data to improve weld quality, defect detection, and predictive maintenance

• Utilize statistical models, Al, and ML techniques to enhance process control and automation

Al and Machine Learning in Welding Operations:

• Develop Al-driven solutions to predict weld defects, optimize settings, andimprove process consistency

• Implement computer vision techniques for weld quality inspection and automation

• Leverage deep learning and reinforcement learning to optimize robotic welding systems

Data Analytics & Reporting:

• Create dashboards and visualization tools to provide insights into production efficiency and quality

• Perform exploratory data analysis and present findings to engineers, production teams, and leadership

• Assist in root cause analysis by correlating welding data with production outcomes

Collaboration and Continuous Improvement:

• Work closely with welding engineers, automation specialists, and IT teams to enhance manufacturing intelligence

• Remain updated on emerging Al and data science technologies relevant to industrial welding

• Provide guidance on best practices for data governance, security and compliance

Required Qualifications:

• Bachelor's degree in Data Science, Computer Science, Engineering, Statistics or related field

• Must be a US citizen with no dual citizenship

• Must be able to obtain and maintain a U.S. Department of Energy (DOE) clearance CVAA,

Technical Skills:

• Proficiency in Python, R, SQL and big data technologies

• Knowledge or experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) - Knowledge of industrial loT and sensor data processing

• Familiarity with data warehousing tools, e.g., Microsoft SQL Server

• Knowledge or experience with predictive modeling, time-series forecasting, and anomaly detection

• Knowledge or experience in computer vision for industrial applications is a plus

• Dashboard creation with Power BI would be a plus

• Knowledge of web technologies (for example REST APIs) and frameworks (e.g. React, Vue.js) would be a plus

• Knowledge of C# would be a plus

Industry Knowledge & Experience:

• Understanding of welding processes, materials, and quality control (preferred, but not mandatory)

• Previous experience in manufacturing, automation, or industrial analytics is highly desirable, but not mandatory

• Knowledge of Six Sigma, Lean Manufacturing, or process optimization techniques is a plus

Soft skills:

• Strong problem-solving skills with an analytical mindset

• Ability to communicate complex data insights to technical and non-technical stakeholders

• A team player with a collaborative approach to interdisciplinary projects

• Must possess proven ability and willingness to learn new tools

• Must be able to demonstrate superior written, oral, and interpersonal communication skills

• Must be highly self-motivated and directed, with keen attention to detail

Preferred Qualifications:

• Certifications in data science, Al, or cloud computing (AWS Certified Machine Learning, Google Professional Data Engineer, etc.)

• Master's in Data Science Preferred

• Experience with robotic and mechanized welding systems and automation

• Understanding of edge computing for real-time data processing

  #LI-TDA

As a federal government contractor, BWX Technologies, Inc. and any subsidiaries, affiliates and related entities (“BWXT” or the “Company”) complies with all federal, state, and local laws and customer requirements regarding COVID-19 and other health and safety protocols. As such, all BWXT new hires will be required to adhere to applicable Company COVID-19 requirements within the workplace as a condition of employment.

Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified information or matter. Position requires U.S. citizenship with (no dual citizenship) ability to obtain and maintain a Department of Energy (DOE) security clearance which involves an extensive criminal and financial background investigation, drug test and previous employment reference verifications.

BWXT supports diversity and is committed to the concept of Equal Employment Opportunity. We have established procedures to ensure that all personnel actions such as recruitment, compensation, career development, benefits, company-sponsored training and social recreational programs are administered without regard to race, color, religion, gender, national origin, citizenship, age, disability or veteran status.

At BWX Technologies, Inc. (NYSE: BWXT), we are People Strong, Innovation Driven. Headquartered in Lynchburg, Va., BWXT provides safe and effective nuclear solutions for national security, clean energy, environmental remediation, nuclear medicine and space exploration. With approximately 6,400 employees, BWXT has 12 major operating sites in the U.S. and Canada. We are the sole manufacturer of naval nuclear reactors for U.S. submarines and aircraft carriers. Our company supplies precision manufactured components, services and fuel for the commercial nuclear power industry across four continents. Our joint ventures provide environmental remediation and nuclear operations management at more than a dozen U.S. Department of Energy and NASA facilities. BWXT's technology is driving advances in medical radioisotope production in North America and microreactors for various defense and space applications. Follow us on Twitter at @BWXTech and learn more at .
**BWXT's Nuclear Operations Group - Lynchburg is currently seeking a Data Science Engineer for its Lynchburg, VA location!**
BWXT's Welding Manufacturing Operations section is seeking a highly skilled Data Scientist to join our Welding Engineering group. This group generates vast amounts of electronic data for a variety of welding processes and applications. This role will be instrumental in setting up data warehouses, monitoring
processes, and advancing Al applications in welding manufacturing operations. The ideal candidate will have expertise in data science, machine learning, and industrial process optimization, with a focus on leveraging Al to enhance welding efficiency, quality and predictive maintenance.
**Key Responsibilities:**
- Data infrastructure and warehousing
- Design, develop, and maintain data warehouses to store and manage large-scale welding operations data
- Ensure seamless integration of data from various sources, including sensors, PLCs, and production databases
- Implement ETL (Extract, Transform, Load) processes for efficient data extraction and processing
**Process Monitoring & Optimization:**
- Develop and deploy real-time monitoring systems to track key welding parameters to detect and report anomalies
- Analyze sensor and machine data to improve weld quality, defect detection, and predictive maintenance
- Utilize statistical models, Al, and ML techniques to enhance process control and automation
**Al and Machine Learning in Welding Operations:**
- Develop Al-driven solutions to predict weld defects, optimize settings, andimprove process consistency
- Implement computer vision techniques for weld quality inspection and automation
- Leverage deep learning and reinforcement learning to optimize robotic welding systems
**Data Analytics & Reporting:**
- Create dashboards and visualization tools to provide insights into production efficiency and quality
- Perform exploratory data analysis and present findings to engineers, production teams, and leadership
- Assist in root cause analysis by correlating welding data with production outcomes
**Collaboration and Continuous Improvement:**
- Work closely with welding engineers, automation specialists, and IT teams to enhance manufacturing intelligence
- Remain updated on emerging Al and data science technologies relevant to industrial welding
- Provide guidance on best practices for data governance, security and compliance
**Required Qualifications:**
- Bachelor's degree in Data Science, Computer Science, Engineering, Statistics or related field
- Must be a US citizen with no dual citizenship
- Must be able to obtain and maintain a U.S. Department of Energy (DOE) clearance CVAA,
**Technical Skills:**
- Proficiency in Python, R, SQL and big data technologies
- Knowledge or experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) - Knowledge of industrial loT and sensor data processing
- Familiarity with data warehousing tools, e.g., Microsoft SQL Server
- Knowledge or experience with predictive modeling, time-series forecasting, and anomaly detection
- Knowledge or experience in computer vision for industrial applications is a plus
- Dashboard creation with Power BI would be a plus
- Knowledge of web technologies (for example REST APIs) and frameworks (e.g. React, Vue.js) would be a plus
- Knowledge of C# would be a plus
**Industry Knowledge & Experience:**
- Understanding of welding processes, materials, and quality control (preferred, but not mandatory)
- Previous experience in manufacturing, automation, or industrial analytics is highly desirable, but not mandatory
- Knowledge of Six Sigma, Lean Manufacturing, or process optimization techniques is a plus
**Soft skills:**
- Strong problem-solving skills with an analytical mindset
- Ability to communicate complex data insights to technical and non-technical stakeholders
- A team player with a collaborative approach to interdisciplinary projects
- Must possess proven ability and willingness to learn new tools
- Must be able to demonstrate superior written, oral, and interpersonal communication skills
- Must be highly self-motivated and directed, with keen attention to detail
**Preferred Qualifications** :
- Certifications in data science, Al, or cloud computing (AWS Certified Machine Learning, Google Professional Data Engineer, etc.)
- Master's in Data Science Preferred
- Experience with robotic and mechanized welding systems and automation
+ Understanding of edge computing for real-time data processing
**#LI-TDA**
As a federal government contractor, BWX Technologies, Inc. and any subsidiaries, affiliates and related entities ("BWXT" or the "Company") complies with all federal, state, and local laws and customer requirements regarding COVID-19 and other health and safety protocols. As such, all BWXT new hires will be required to adhere to applicable Company COVID-19 requirements within the workplace as a condition of employment.
Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified information or matter. Position requires U.S. citizenship with (no dual citizenship) ability to obtain and maintain a Department of Energy (DOE) security clearance which involves an extensive criminal and financial background investigation, drug test and previous employment reference verifications.
BWXT supports diversity and is committed to the concept of Equal Employment Opportunity. We have established procedures to ensure that all personnel actions such as recruitment, compensation, career development, benefits, company-sponsored training and social recreational programs are administered without regard to race, color, religion, gender, national origin, citizenship, age, disability or veteran status.

Job Family :

Data Science Consulting

Travel Required :

Up to 10%

Clearance Required :

None

What You Will Do :

We are seeking an experienced Associate Director to join our growing AI and Data practice, with a dedicated focus on commercial energy providers. This individual will be a hands-on leader, responsible for shaping and delivering AI- and data-driven transformations that enable utilities to achieve operational excellence, decarbonization goals, grid modernization, and customer-centric innovation.

The Associate Director will oversee cross-functional teams and collaborate directly with client executives and business leaders to drive value through advanced analytics, data strategy, and AI-based solutions. This is a leadership role for someone who thrives at the intersection of technology, data, and industry strategy.

Client Leadership & Engagement

• Serve as a trusted advisor to utility clients on AI and data strategy, including demand forecasting, asset analytics, grid optimization, and customer engagement.

• Lead client engagements end-to-end from strategy through implementation, ensuring delivery excellence and measurable business outcomes.

• Develop and maintain relationships with key clients and stakeholders.

Solution Development & Innovation

• Design and lead AI/ML and analytics solutions using best-in-class tools and platforms.

• Translate business challenges into actionable use cases and scalable data and analytics products.

• Stay ahead of industry trends and emerging technologies to inform solution development.

Team & Practice Leadership

• Support business development through proposal development, thought leadership, and strategic pursuits.

• Mentor and lead multi-disciplinary consulting teams including data scientists, engineers, and business consultants.

• Contribute to recruiting, talent development, and thought leadership within the practice.

Industry & Domain Expertise

• Apply deep knowledge of the energy and utilities industry to shape strategies around DER integration, energy transition, grid modernization, regulatory compliance, and customer experience.

• Interpret regulatory and policy changes to identify opportunities for AI and data enablement.

What You Will Need :

• Minimum SEVEN (7) years of experience of hands-on AI, data engineering, and analytics expertise

• Minimum FIVE (5) years of experience delivering data-driven transformation programs within the utilities or broader energy sector.

• Strong understanding of AI/ML technologies, data platforms (e.g., Snowflake, Databricks, AWS/GCP/Azure), and analytics methodologies.

• Demonstrated experience supporting the business development lifecycle, such as capture and proposal writing related activities.

• Proven track record of leading large-scale analytics and AI engagements from concept to execution.

• Demonstrated ability to source and lead the formation and execution of successful partnerships between and across major stakeholders including technology partners and business end-users.

• Proven ability to collaborate with audiences with a wide range of technical knowledge and at different levels of an organization, from the C-Suite (CIO, CISO, CDO) to a data engineer or data analyst.

• Ability to influence and motivate a team of data and AI specialists across a variety of functions to establish and deliver capabilities at scale.

• Excellent communication, facilitation, and relationship-building skills.

What Would Be Nice To Have :

• Bachelor's degree

• Masters Degree in Data Engineering, Data Science, Artificial Intelligence, Computer Science, or related technical field

• AI/LLM Certifications

• Project Management Professional (PMP)

The annual salary range for this position is $149,000.00-$248,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

What We Offer :

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

• Medical, Rx, Dental & Vision Insurance

• Personal and Family Sick Time & Company Paid Holidays

• Position may be eligible for a discretionary variable incentive bonus

• Parental Leave and Adoption Assistance

• 401(k) Retirement Plan

• Basic Life & Supplemental Life

• Health Savings

Job Family :

Data Science Consulting

Travel Required :

Up to 10%

Clearance Required :

None

What You Will Do :

We are seeking an experienced Associate Director to join our growing AI and Data practice, with a dedicated focus on commercial energy providers. This individual will be a hands-on leader, responsible for shaping and delivering AI- and data-driven transformations that enable utilities to achieve operational excellence, decarbonization goals, grid modernization, and customer-centric innovation.

The Associate Director will oversee cross-functional teams and collaborate directly with client executives and business leaders to drive value through advanced analytics, data strategy, and AI-based solutions. This is a leadership role for someone who thrives at the intersection of technology, data, and industry strategy.

Client Leadership & Engagement

• Serve as a trusted advisor to utility clients on AI and data strategy, including demand forecasting, asset analytics, grid optimization, and customer engagement.

• Lead client engagements end-to-end from strategy through implementation, ensuring delivery excellence and measurable business outcomes.

• Develop and maintain relationships with key clients and stakeholders.

Solution Development & Innovation

• Design and lead AI/ML and analytics solutions using best-in-class tools and platforms.

• Translate business challenges into actionable use cases and scalable data and analytics products.

• Stay ahead of industry trends and emerging technologies to inform solution development.

Team & Practice Leadership

• Support business development through proposal development, thought leadership, and strategic pursuits.

• Mentor and lead multi-disciplinary consulting teams including data scientists, engineers, and business consultants.

• Contribute to recruiting, talent development, and thought leadership within the practice.

Industry & Domain Expertise

• Apply deep knowledge of the energy and utilities industry to shape strategies around DER integration, energy transition, grid modernization, regulatory compliance, and customer experience.

• Interpret regulatory and policy changes to identify opportunities for AI and data enablement.

What You Will Need :

• Minimum SEVEN (7) years of experience of hands-on AI, data engineering, and analytics expertise

• Minimum FIVE (5) years of experience delivering data-driven transformation programs within the utilities or broader energy sector.

• Strong understanding of AI/ML technologies, data platforms (e.g., Snowflake, Databricks, AWS/GCP/Azure), and analytics methodologies.

• Demonstrated experience supporting the business development lifecycle, such as capture and proposal writing related activities.

• Proven track record of leading large-scale analytics and AI engagements from concept to execution.

• Demonstrated ability to source and lead the formation and execution of successful partnerships between and across major stakeholders including technology partners and business end-users.

• Proven ability to collaborate with audiences with a wide range of technical knowledge and at different levels of an organization, from the C-Suite (CIO, CISO, CDO) to a data engineer or data analyst.

• Ability to influence and motivate a team of data and AI specialists across a variety of functions to establish and deliver capabilities at scale.

• Excellent communication, facilitation, and relationship-building skills.

What Would Be Nice To Have :

• Bachelor's degree

• Masters Degree in Data Engineering, Data Science, Artificial Intelligence, Computer Science, or related technical field

• AI/LLM Certifications

• Project Management Professional (PMP)

The annual salary range for this position is $149,000.00-$248,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

What We Offer :

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

• Medical, Rx, Dental & Vision Insurance

• Personal and Family Sick Time & Company Paid Holidays

• Position may be eligible for a discretionary variable incentive bonus

• Parental Leave and Adoption Assistance

• 401(k) Retirement Plan

• Basic Life & Supplemental Life

• Health Savings

**Minimum qualifications:**
+ Bachelor's degree in Accounting or Finance, or equivalent practical experience.
+ Certified Public Accountant (CPA) or Chartered Accountant (CA).
+ 4 years of experience in accounting or a related function, or 1 year with an advanced degree in accounting, business, or finance.
+ Experience with US Generally Accepted Accounting Principles (GAAP) in a public accounting or multinational company setting.
**Preferred qualifications:**
+ Experience with SQL and analyzing data sets to make business decisions.
+ Experience in managing process improvements or automating tasks/reporting.
+ Excellent business acumen, with the ability to recognize and present data.
+ Excellent communication and project management skills, with the ability to work in a team environment.
Google accountants are a savvy bunch who handle the core accounting responsibilities at Google. You know your accounting principles and the full accounting process end to end. You'll advise on financial reports required by governmental regulations, and review, analyze, and interpret financial and budgetary reports. Every day is a new challenge, and you're continually looking for ways to help our team become more efficient and effective. A team player at heart, you collaborate with our global team, advocate best practices and pitch in where needed. You move fast while keeping your attention to detail, and you tap into your problem-solving skills to support business objectives.
You'll lead an accounting process from end-to-end. Other responsibilities include reconciling balance sheets and P&L accounts, and providing supplementary financial information for internal and external reports.
In this role, you will have the opportunity to work on one of Google's product areas. You will help ensure the financial accuracy of the Android Mobile gain and loss, build processes to support our complex agreements with partners, and review, analyze, and interpret financial data. You will also lead AI and Automation projects for the broader team. These projects have the goal of streamlining processes, automating tasks, generating time savings, and unlocking new insights. You will learn about all the AI tools at Google and develop expertise with how each is utilized.
You will be part of the larger Platforms and Devices controllership team dedicated to manage financial risks across systems, data, compliance, product launches, finance operations, accounting and reporting.
The name Google came from "googol," a mathematical term for the number 1 followed by 100 zeros. And nobody at Google loves big numbers like the Finance team when providing in depth analysis on all manner of strategic decisions across Google products. From developing forward-thinking analysis to generating management reports to scaling our automated financial processes, the Finance organization is an important partner and advisor to the business.
The US base salary range for this full-time position is $102,000-$146,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
**Responsibilities:**
+ Design, implement, and manage global processes for the accounting of Android Mobile.
+ Partner with Financial Planning and Analysis, Product, Engineering, and other cross-functional business partners to define, establish, and implement accounting systems, processes, and procedures. Review processes and implement controls to ensure mitigated risk for Google.
+ Perform month-end close processes, including agreement review and preparing/posting journal entries. Prepare and present financials to management and support with requests from cross-functional teams.
+ Lead automation projects related to journal entries, reconciliations, reporting, data analysis and more.
+ Identify automation opportunities and assess the feasibility and work needed.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: