1,097 Data Solutions jobs in the United States

Build the Future
At McGraw Hill, we are committed to transforming education through innovative digital learning experiences. Our goal is to create impactful products that genuinely benefit learners and educators while promoting growth and collaboration across teams. We cultivate a culture that prioritizes innovation, teamwork, and a healthy balance between career advancement and personal well-being.

How can you make an impact?

We are looking for a proactive and skilled Data Solutions Architect to lead enterprise data initiatives by designing, documenting, and enhancing our modern data architecture. You will maintain data models, implement best governance practices, and facilitate analytics through secure, scalable, and reliable data solutions across platforms like Databricks, Oracle, and Power BI.

The ideal candidate is equipped with strong analytical and technical skills, including exceptional proficiency in SQL. You will communicate complex data insights effectively to both technical and non-technical audiences. Collaboration is key, as you will work closely with a variety of teams and seize opportunities to grow your expertise in an evolving data landscape.

Your deep dives into data will use advanced techniques to analyze complex data sets, going beyond conventional methods to derive meaningful insights that inform decision-making about development priorities.

This is a remote position open to applicants authorized to work for any employer within the United States.

Key Responsibilities:

• Conduct thorough data analyses and provide insights to guide architectural decisions and enhance existing data pipelines comprehensively.
• Support the implementation of the Medallion Architecture (Bronze, Silver, and Gold) ensuring structured design and data flow across layers.
• Collaborate with cross-functional teams including Analytics Delivery, back office, data engineering, data science, strategy, and operations to interpret business needs and develop actionable data solutions.
• Develop and maintain complex SQL queries, data pipelines, diagrams, and models.
• Design, document, and maintain dimensional models following Kimball methodology for self-service and reporting use cases.
• Create and manage interactive dashboards and reports using Tableau and other visualization tools; mentor junior data analysts in their professional development.
• Perform in-depth data analysis to identify quality issues, usage patterns, root causes, and their business impacts.
• Build and maintain data catalogs, metadata definitions, and documentation on data lineage.
• Assist with data ingestion and transformation using tools such as Databricks, Python, and Informatica IICS.
• Craft semantic models and visualizations in Power BI to enable business-focused analysis.
• Support operational and analytical data requirements with Oracle databases and ensure compliance with governance standards, quality expectations, and performance benchmarks.

What You Bring:

• Preferred bachelor's degree in a related field or equivalent experience.
• A minimum of 4+ years of experience in a relevant field.
• At least 5 years in an analytical or reporting role.
• Between 2 to 5 years of experience in data analysis, data engineering, or advanced analytics.
• Expertise in SQL, Data Blending, and ELT tools such as Informatica or Alteryx for 5+ years.
• 5+ years of experience with BI tools including Tableau and Power BI.
• 5+ years of experience in database structure design and relationships using data modeling techniques, including creating Entity-Relationship Diagrams (ERDs).
• 3+ years of cloud platform experience such as AWS or OCI.
• Demonstrated ability to perform detailed data analysis utilizing SQL, Python, or BI tools to discover patterns, anomalies, and business drivers.

Familiarity With:

• Oracle and relational data modeling.
• Kimball-style dimensional modeling.
• Databricks (including notebooks and Lakehouse architecture).
• Power BI, Tableau (modeling, DAX, visuals).
• Python for scripting and analysis.
• Informatica IICS or other ETL tools.
• Knowledge of data governance, cataloging, and metadata practices.
• Strong organizational skills, attention to detail, and clarity in documenting and describing data decisions.

Preferred Experience & Skills:

• Experience with Salesforce.com (SFDC) platform data integration and analysis.
• Experience with big data platforms like Databricks and familiarity with storage formats like Parquet and Delta.
• Experience with Oracle SaaS applications (e.g., Oracle HCM, Oracle ERP).
• Proficiency in Python for data analysis.
• Experience analyzing data from Product Experience Platforms such as Pendo, Google Analytics, or Adobe.
• Familiarity with data integration tools like Informatica PowerCenter and/or Alteryx.
• Experience in the EdTech or SaaS industry.

Why work for us?

Your contributions at McGraw Hill will matter. We collaboratively design content that shapes the future of education, giving you the opportunity to find fulfillment in your work and inspire yourself to reach new heights.

The compensation for this position ranges from $95,000 to $110,000 annually, adjusted based on job-related knowledge, skills, experience, and location. An annual bonus plan may also be available, along with a comprehensive range of medical and other benefits. McGraw Hill recruiters utilize an official email address ending in '@mheducation.com' and/or our Applicant Tracking System, iCIMS. Any deviation from this email domain should be treated with suspicion. McGraw Hill recruiters and authorized representatives will not request sensitive information via email.

McGraw Hill employs an automated employment decision tool (AEDT) to enhance the screening process by identifying candidates with similar skills based on resume and job data. If you wish to request an alternative screening process, please select 'Opt-Out' when prompted to consent to the use of the Automated Employment Decision Tools during your application.

• Develop and maintain Operations Reporting and Executive Dashboards to support strategic initiatives
• Create and embed real-time reports on our eCommerce platform
• Develop data pipelines to pull data from multiple systems and combined into actionable insights
• Design and monitor Ops KPIs to evaluate team and business performance
• Partner with internal and external stakeholders to gather requirements and translate them into technical solutions
• Lead the overhaul and optimization of our existing customer-facing reports solution for improved speed, reliability, and scalability
• Analyze large data sets to identify opportunities for process improvement and cost savings
• Conduct inventory level analysis to support supply chain decisions
• Develop APIs to enable data access and integration between platforms
• Build and maintain SQL databases, data warehouses, and data marts to support enterprise reporting
• Establish and manage ETL processes and data refresh schedules for ongoing data integrity
• Recommend and implement optimal data strategies and roadmaps for business growth
• Apply JavaScript, Python, and HTML to create and automate custom reporting tools

• Bachelor's degree in Computer Science, Information Systems, Statistics, or related field
• 5+ years of experience in a Business Intelligence, Data Analyst, or similar role
• Proficiency in SQL, data modeling, and relational databases
• Strong experience with BI tools (e.g., Zoho Analytics, Power BI, Tableau)
• Familiarity with NetSuite reporting and eCommerce analytics
• Experience with API development and data integration
• Hands-on knowledge of ETL frameworks and data transformation
• Proficiency in scripting and data manipulation using Python, JavaScript, and HTML
• Excellent communication skills and ability to translate business requirements into technical solutions

• Exposure to Machine Learning and Artificial Intelligence concepts
• Experience with predictive analytics and advanced statistical modeling
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) for data processing

ECS is seeking a Data Solutions Architect to work remotely . Please Note: This position is contingent upon contract award.

Responsible for the overall design and governance of the enterprise data platform. Defines Azure resource architecture, metadata strategy, data integration patterns, and ensures platform scalability and sustainability. Advises on governance best practices and supports long-term alignment with USPS collaboration goals.

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical discipline.
• Must be able to pass a Public Trust clearance
• Minimum 8 years of experience in enterprise data architecture, including at least 5 years in designing and deploying cloud-based data platforms (preferably Azure).
• Expert-level knowledge of Azure architecture (Data Lake Gen2, Synapse, Purview, Key Vault)
• Experience designing metadata strategies and data governance models
• Familiarity with tenant federation, security architecture, and role-based access models
• Proficient in SQL, data modeling, and data lineage documentation

About The Organization

The Momentus Capital branded family of organizations - which includes Capital Impact Partners, CDC Small Business Finance, and Ventures Lending Technologies - is transforming how capital and investments flow into communities to provide people access to the capital and opportunities they deserve. We are working to reinvent traditional financial systems that have failed to address systemic issues of inequality, economic empowerment, and the widening racial wealth gap by offering a continuum of financial, knowledge, and social capital to help local leaders build inclusive and equitable communities and create generational wealth. This includes a comprehensive package of loan products, impact investment opportunities, training and business advising programs, and technology services that advance locally-led solutions. Our suite of products and services, experience, and scope will foster equitable job creation, wealth building, and economic mobility.

Position Summary

Acting as an internal consultant to business and information technology delivery teams, the Solutions Data Architect candidate will architect and design data and technology solutions that are strategic for the business and built using the latest technologies and techniques. Utilizing data engineering and technology knowledge, the candidate will play a major role in architecting custom developed and COTS integration solutions and deliver secure, reliable, resilient and scalable data management solutions. The Solutions Data Architect will have expertise in SSIS, Azure Data Services, and data integration, complemented by extensive experience in Power BI reporting integration and Salesforce integration. The ideal candidate will possess a strong understanding of SSIS DB, Azure Managed Instance (MI), and Azure Data Factory (ADF), and will be responsible for building and optimizing data pipelines, managing cross-platform data flows, and integrating business intelligence platforms. The role also requires a solid background in data security, experience in the financial domain, and a proven ability to enhance system efficiency.

Essential Responsibilities

• Partner with senior business and IT management to develop and architect cost effective data and technology solutions that meet CIP objectives.
• Propose recommended and/or best practices regarding the movement, manipulation, and storage of application and enterprise data.
• Overall ownership for the data architecture and detail design.
• Research and experiment with emerging data technologies and tools (i.e., structured and big data).
• Lead technical discussions with internal and external (COTS Vendors) that drive decisions and implementation.
• Provide expert support, analysis, research, and advice into exceptionally complex problems, and processes relating to the subject matter.
• Serve as technical expert on data and software development/integration initiatives providing technical direction, interpretation and alternatives.
• Participate in tool evaluations and technology assessment.
• Synthesize requirements from business and produce Technical Architecture Design Document.
• Collaborate with business units and the Business Systems Analyst to understand business requirements and provide architectural solutions that align with both functional needs and data security protocols.
• Design and develop scalable data models, data warehouses, and pipelines to support business needs, ensuring compliance with data security and financial industry regulations.
• Conduct thorough data analysis and profiling to ensure data quality and integrity across all systems.
• Develop, deploy, and manage packages, utilizing SSIS DB for seamless and secure integration, particularly in financial applications.
• Create Data Engineering solutions using SQL Server and Microsoft Data, leveraging a tech stack that includes Azure ML, ADF, Synapse, Databricks, Stream Analytics, SSIS, SSRS, Power BI, and more.
• Serve as an Azure Data Architect, assisting in building data engineering solutions by creating frameworks, guidelines, and best practices for data engineers to utilize in their workflows.
• Leverage ADLS, Azure Databricks, Azure Synapse Spark Pool, Dedicated SQL Pool, and Azure Stream Analytics to create effective data solutions, including the use of Snowflake for Data Warehousing.
• Build and optimize ETL/ELT pipelines using Azure Data Factory (ADF), adhering to best practices for data governance.
• Create Data Engineering pipelines using Azure Data Factory and Azure Databricks.
• Integrate Power BI for secure and efficient data visualization and reporting, connecting to various data sources, including Azure and on-premises systems.
• Drive Salesforce integration with Azure Data Services, ensuring seamless and secure data synchronization across platforms.
• Develop and optimize SQL queries, stored procedures, functions, and indexes to ensure efficient system performance and security.
• Conduct performance tuning extensively to optimize system efficiency, including optimizing queries and enhancing data handling.
• Lead release management activities, participating in code reviews, QA reviews, and obtaining line-of-business approvals to ensure smooth deployments while maintaining security and regulatory compliance.
• Create real-time dashboards based on KPIs using Power BI and any other tools for critical reporting and compliance monitoring.
• Implement DevOps best practices across data pipelines and databases, focusing on automation and security from databases to pipeline.
• Create Power BI dashboards and assist organizations in onboarding with Power BI, choosing appropriate licensing based on requirements.
• Develop reusable components for error handling, logging, security, and configuration management within SSIS packages.
• Create scripts for automation for SQL Server installation in cluster and standalone environments, implementing database mirroring for high availability.
• Participate in technical discussions throughout project phases to ensure alignment with business goals, data security, and financial regulations.

Requirements

• Bachelor Degree preferably in Information Technology, Data engineering or Business.
• 8 - 10 years of experience in a hands-on Technology Leadership position.
• Experience in banking, single family and commercial lending, capital markets, insurance or asset management is considered a plus.
• Strong knowledge of data lifecycle and application development, database design and system implementation.
• 8-10 years of experience in a software development and data management.
• 8-10 years of hands-on experience in Data architecture (architecture, data modeling, ETL, Data Warehousing, Data Marts, SOA).
• 8 years of hands-on experience working with at least one programming language and related technologies such as C#, , SSIS Packages, and APIs.
• 5-8 years of hands-on experience developing customer applications and/or integrating "on premise" or "cloud-based" COTS solutions.
• 5-8 years designing and delivering mid-large scale databases in more than one Enterprise database (Microsoft SQL Server, Microsoft SQL Server Integration Services).
• 8 years of hands-on experience in Enterprise Data Management managing a system of record solutions, metadata and other technologies supporting Data Governance functions.
• 8 years of hands-on experience architecting, interpreting and translating goals into technical specifications, delivering thought leadership of specific technologies and driving technology change.
• Ability to champion an idea and bring a group to consensus.
• Ability to set technical and information management strategy, applying an in-depth understanding of the business strategy.
• Strong analytical and problem-solving skills.
• Strong written and verbal communication skills; able to understand your audience and adjust your presentation style accordingly.
• MSBI Suites: SQL Server, SSIS, SSRS, SSAS.
• Azure Data Services: Azure SQL DB, Azure Data Lake, Azure Data Factory, Azure Synapse, Azure DevOps, Azure Databricks.

Benefits

The salary range for this position is $106,559-$142,257 and is eligible for an annual incentive/commission plan.

This role is remote/hybrid/onsite and is eligible for an annual incentive.

All employees must be legally authorized to work in the United States. The Company will not sponsor applicants for work visas.

EEO: Momentus Capital is an equal opportunity employer committed to a diverse work force; and, as such, is fully committed to providing employment for qualified individuals, free from discrimination on the basis of race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, marital status, pregnancy, childbirth or related medical conditions, or any other protected characteristic established by applicable law.

• Mid-Senior level

• Full-time

• Analyst
• Industries
• Non-profit Organizations and Primary and Secondary Education

Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. We turn enterprise data into real-time decisions using advanced machine learning and GenAI. Our team solves hard engineering problems at scale, with real-world industry impact. Were hiring passionate builders to shape the future of industrial intelligence.

Position Overview

We are seeking an experienced Data Solutions Architect to design, implement, and optimize enterprise-scale data architectures across cloud platforms. This role requires deep expertise in modern data stack technologies including Databricks, Snowflake, and AWS/GCP cloud services. The ideal candidate will drive data strategy, ensure robust governance frameworks, and enable advanced analytics capabilities that support business-critical decision making.

Key Responsibilities

• Design scalable, secure data architectures on AWS and GCP cloud platforms
• Develop data architecture blueprints for data lakes, warehouses, and streaming solutions
• Create technical specifications and establish architectural standards and best practices
• Evaluate and recommend emerging technologies to enhance the data ecosystem

Data Platform Management

• Lead Databricks implementation for advanced analytics and machine learning workloads
• Design and optimize Snowflake data warehouse architectures for performance and cost
• Architect multi-cloud solutions using AWS (S3, Redshift, Glue, EMR) and GCP (BigQuery, Dataflow, Dataproc) services
• Implement containerized data processing solutions
• Design robust ETL/ELT pipelines for batch and real-time data processing
• Develop data ingestion frameworks for structured and unstructured data sources
• Implement CDC solutions and event-driven architecture for real-time analytics

Data Modeling & Analytics

• Develop logical and physical data models optimized for analytical workloads
• Design dimensional modeling and data vault solutions for enterprise data warehouses
• Architect self-service analytics platforms for business users
• Create domain-specific data marts and advanced modeling techniques

Business Intelligence & Data Governance

• Architect BI solutions integrating with platforms like Tableau, Power BI, and Looker
• Implement comprehensive data governance frameworks ensuring quality, lineage, and metadata management
• Design data privacy solutions compliant with GDPR, CCPA, and regulatory requirements
• Establish role-based access controls, data classification, and security frameworks
• Partner with stakeholders to translate business requirements into technical solutions
• Provide technical leadership and mentorship to development teams
• Drive architectural reviews and present designs to executive leadership
• Collaborate with data engineers, analysts, and scientists for optimal platform performance

Required Qualifications

Technical Expertise

• Cloud Platforms: 5+ years of hands-on experience with AWS and/or GCP data services
• Databricks: 3+ years designing and implementing Databricks solutions for analytics and ML workloads
• Snowflake: 3+ years architecting Snowflake data warehouse solutions
• Programming: Proficiency in Python, SQL, Scala, and/or Java for data processing applications
• Big Data Technologies: Experience with Apache Spark, Kafka, Airflow, and other distributed computing frameworks
• Infrastructure as Code: Proficiency with Terraform, CloudFormation, or similar tools

Data Management

• Data Integration: Extensive experience with ETL/ELT tools and frameworks
• Data Modeling: Strong background in dimensional modeling, data vault, and modern data architecture patterns
• Data Governance: Proven experience implementing data quality, lineage, and metadata management solutions
• Analytics: Experience architecting solutions for advanced analytics, machine learning, and AI workloads

Professional Background

• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field
• 7+ years of experience in data architecture, engineering, or related roles
• Strong project management skills with experience leading complex, multi-stakeholder initiatives
• Excellent communication skills with ability to present technical concepts to non-technical audiences

Preferred Qualifications

• Cloud certifications (AWS Solutions Architect, GCP Professional Data Engineer, or similar)
• Experience with additional cloud platforms (Azure)
• Knowledge of machine learning operations (MLOps) and AI/ML lifecycle management
• Experience with real-time analytics and streaming technologies
• Background in financial services, healthcare, or other highly regulated industries
• Familiarity with open-source data technologies and frameworks
• Experience with agile development methodologies and DevOps practices

• Maintain, Upgrade, and Expand Enterprise Data Warehouse (EDW) and Analytics Capabilities.
• Perform System Administration of Oracle Analytics Server (OAS), Oracle Business Intelligence Applications (OBIA), Oracle BI Publisher, and Oracle Data Integrator (ODI) on Linux Servers working closely with the BI Insights Oracle Database Administrator (DBA).
• Perform hands-on development of OBIA based EDW analytics and BI Publisher solutions.
• Provide technical leadership and architectural guidance to develop scalable, secure, and sustainable data platforms that support governance, analytics, and integration needs.
• Design and implement end-to-end data analytics solutions across Finance, Procurement, Budget, and Human Resources domains, aligning with business requirements and operational goals.
• Analyze source systems and enhances existing data platforms by designing and building new data repositories, including operational data stores, data warehouses, and data lakes.
• Lead hands-on development and prototyping efforts, while identifying opportunities to incorporate advanced technologies such as Machine Learning and Artificial Intelligence into BI analytics solutions.
• Coordinate across cross-functional teams to align business requirements with technical deliverables, ensuring data structures and services support the BI Insights development lifecycle.
• Serve as a mentor and technical lead, fostering team growth through skill-building opportunities and collaborative project execution, while promoting King County's values.
• Develop and maintain key data architecture assets-including data models, flows, dictionaries, and ETL logic-ensuring data integrity, security classification, and appropriate access controls.
• Assist with Architecture solutions and present them in review forums.

• Extensive leadership in enterprise data warehouse and analytics solutions using Oracle Business Intelligence Applications (OBIA), Oracle Analytics Server (OAS) or cloud (OAC), and Oracle Data Integrator (ODI), including system administration on Unix/Linux platforms.
• Advanced expertise in Oracle Analytics RPD (or Semantic Modeler) design, development, and deployment, with strong data modeling skills across conceptual, logical, and physical schemas.
• Proven success in implementing, customizing, and optimizing OBIA data flows and transformations, including modifying mappings, models, and load plans within Oracle Data Integrator (ODI).
• Strategic contributor in data analysis, data profiling, data quality assurance, and data integration across enterprise data warehouse platforms.
• Demonstrated leadership in developing high-performance dashboards, complex visualizations, and query optimization techniques using Oracle SQL, PL/SQL, and Oracle BI Publisher.
• Demonstrated ability to analyze and design solutions grounded in a deep understanding of Oracle ERP data sources such as Oracle E-Business Suite (EBS) and PeopleSoft.
• Extensive leadership in gathering requirements, managing agile development cycles, and collaborating effectively with both business stakeholders and technical teams to deliver data-driven solutions.
• Advanced expertise in cross-functional communication and stakeholder engagement, with the ability to translate technical concepts for business audiences and influence decision-makers.
• Proven success in applying data security, privacy, and risk management best practices, with working knowledge of complementary tools such as Oracle APEX, Power BI, and Oracle Cloud Infrastructure (OCI).

• The successful candidate will be required to pass a thorough background and reference check.

• Excellent medical, dental, and vision coverage options: King County provides eligible employees with options, so they can decide what's best for themselves and their eligible dependents
• Life and disability insurance: employees are provided basic coverage and given the opportunity to purchase additional insurance for both the employee and eligible dependents
• Retirement: eligible King County employees may participate in a pension plan through the Washington State Department of Retirement Systems and a 457(b) deferred-compensation plan
• Transportation program and ORCA transit pass
• 12 paid holidays each year plus two personal holidays
• Generous vacation and paid sick leave
• Paid parental, family and medical, and volunteer leaves
• Flexible Spending Account
• Wellness programs
• Onsite activity centers
• Employee Giving Program
• Employee assistance programs
• Flexible schedules and telecommuting options, depending on position
• Training and career development programs

• Yes, I was given a layoff notice from my Career Service role at King County and I am within two years of the effective date of my layoff. Additionally, the position I was laid off from was the same or a higher percentage of FT status when compared to this one.
• No.

Job DescriptionJob Description

Data Solutions Architect/AI Architect

LinTech Global Inc. is recruiting for Data Solutions Architect to support our USPSOIG contract at the Arlington, Virginia.

Location: DC area with 1 Day a Week onsite in Arlington, Virginia, 20 hours per week.

• Functions as the primary technical architect for data warehousing projects to solve business intelligence challenges
• Possesses deep technical expertise in database design, ETL (OWB/ODI), reporting, and analytics
• Previous consulting experience utilizing an agile delivery methodology

Position Requirements:

• Strong conceptual, analytical, and decision-making skills
• Knowledge and Experience of dimensional modeling
• Strong knowledge of Azure Databricks
• Proficiency in creating PL/SQL packages
• Full SDLC and Data Modeling experience
• Ability to create both logical and physical data models
• Ability to tune databases for maximum performance
• Experience in Data Preparation: Data Profiling, Data Cleansing, and Data Auditing
• Ability to work with Business Analysts to create functional specifications and data
• Manages QA functions
• Develops unit, system, and integration test plans and manages execution
• Ability to write technical and end-user system documentation
• Excellent written and oral communication skills
• Experience transforming logical business requirements into appropriate schemas and models
• Ability to analyze and evaluate moderate to highly complex information systems by being able to interpret such devices as Entity Relation Diagrams, data dictionaries, record layouts, and logic flow diagrams

Experience:

• Must have Expertise as both a Solutions Architect & AI Architect.
• Clearable US that is able to pass a background investigation in order to obtain a federal security clearance.
• 3+ years' experience with Azure ETL processing
• 3+ years' experience utilizing data warehousing methodologies and processes

Company Description

LinTech Global is an award-winning, ISO 9001:2015 certified, business and GSA contract holder providing diversified Information Technology services to both Civilian and Defense agencies. Services include Software Development, Systems Integration, Data Management, Project Management, Operations & Maintenance, Cybersecurity, and Training and Audio/Visual (AV) Solutions. LinTech has received several recognitions, including rankings on "Top 50 Companies to Watch", Washington Technology's Annual "FAST 50", and Inc. 500's List of "Fastest Growing Private Companies". The LinTech Global team is comprised of individuals who are dedicated to the success and sustainability of our customers and their missions. Our combination of technical expertise, big business experience, and small business agility allows us to promptly provide our customers with exceptional IT and engineering solutions.

Benefits

Our robust benefits package includes Open Paid Time Off, Paid Holidays, Company-paid Life/AD&D, Company-paid Short Term and Long-Term , Health Insurance with Company Contribution, 401k Plan with Company Match, Employee Recognition Program, opportunity for Employee Referral Bonus, opportunity for annual Performance Bonus and much more!

EEO Statement

LinTech Global, Inc. is proud to be an equal opportunity employer. We celebrate and are committed to creating an inclusive environment for all employees. All employment is decided based on qualifications, merit, and business need.

All applicants will be considered for employment without attention to , , , , ancestry, physical or mental , medical condition, (including childbirth, lactation and related medical conditions), marital status, genetic information (including characteristics and testing), , , or expression, military and veteran status, or any other status protected under federal, state, or local law in the locations where we operate.

If you are an individual with a and would like to request a reasonable accommodation as part of the employment selection process, please contact Human Resources. The Company invites any applicant and/or employee to review the Company's written Affirmative Action Plan. This plan is available for inspection upon request.

#DICE

#LI-LM1

This role requires customer approval, suitability to hold a public trust and successful completion of a preemployment background screening.

Job Posted by ApplicantPro

• Participation in relevant pitches
• Represent audience strategy and agency capabilities across data solutions and advertising technology
• Identify opportunities within existing accounts as companies look to evolve marketing techniques using data and technology

• Define and develop structure of a data solutions service & activation team. This includes role definition and articulating integration points and process with existing Activation, Analytics, AdOps teams.
• Define preferred, full and complementary tech stack offering for the entertainment accounts on the West Coast
• Audience planning & activation: explore new data strategies to push agency capabilities to maximize performance for entertainment clients as well as explore third-party partnerships to expand coverage across the client's business lines.
• Build measurement methodology with Analytics practice to ensure accurate performance of the audience strategies
• Collaborate with linear/addressable TV, OOH, and Digital leads on data activation and audience segmentation process
• Oversee development and maintenance of proprietary business and media dashboards for clients, business stakeholders, and activation teams where needed.

• Oversee Programmatic activation across the Entertainment portfolio on the West Coast
• Budget development and forecasting
• Collaboration techniques and tools for the execution of cross-channel marketing inclusive of owned channels

• Attend CMO conversations for existing clients around data & advertising technology
• Provide consultation to internal brand teams across accounts
• Output POVs of industry trends and research

• Experience with data strategy, partnerships and application to relevant business category.
• Programmatic strategy and buying expertise, specifically The Trade Desk and DV360.
• Strong presentation skills.
• Managed and trained highly functional teams.

• Previous experience working on entertainment accounts and/or fast-paced performance-based business categories.

• Translate business and functional requirements into technical solutions.
• Develop and maintain dashboards, reports, and data pipelines.
• Apply current development practices to meet project deadlines.
• Collaborate with stakeholders to identify and implement data-driven improvements.
• Stay informed on industry trends and tools in BI, AI, and software development.
• Continually research, propose, and implement improvements to business intelligence infrastructure.

• Develop and maintain applications using .NET technologies.
• Write and optimize SQL queries and stored procedures.
• Build and support ETL processes using SSIS or equivalent tools.
• Ensure integration of applications with enterprise systems and data sources.
• Troubleshoot and resolve software and data-related issues.
• Continually optimize systems and code to enhance performance on existing databases and applications.
• Work with the IT department to ensure that backup and recovery processes are in place and functioning correctly.

• Work with management, peers, end-users, and vendors to implement new solutions.
• Participate in cross-functional projects involving data integration, analytics, and application development.
• Contribute to architectural discussions and recommend system enhancements.
• Evaluate and make recommendations for software and services offered by third-party vendors.

• Prepare progress reports and communicate project status to management.
• Maintain accurate documentation and update project tracking tools

• Minimum of five years previous work experience in Databases, Data Integration, User Interfaces and Application development, Business Intelligence, Data Analytics, Dashboards and Reporting or related fields.
• Bachelor's degree in Computer Science, Information Systems, or a related field.
• Excellent customer service skills and experience in IT support of a diverse user community.
• Strong analytical and problem-solving skills, a firm sense of accountability and ownership for end-to-end project lifecycles.
• Understanding of technical design principles and experience in developing and implementing standards and best practices.
• Excellent written and verbal communication skills and the ability to interact with diverse technical and non-technical groups spanning all organizational levels.
• Self-motivated with the ability to prioritize, meet deadlines, and manage changing priorities.
• Ability to be flexible and work well in a high-pressure production environment with frequent priority change.
• Proficiency in .NET (C#, .NET) and SQL Server.
• Working knowledge of web technologies (HTML, XML, JSON, JavaScript). Experience with scripting languages (e.g., Python, Perl) is a plus.
• Experience with QLIK or any top Business Intelligence Software Tool.
• Strong understanding of data management, ETL, dashboard development, data integration and APIs
• Familiarity with AI and ML concepts and their application in business intelligence.
• Experience with Microsoft SSMS, SSIS, Power BI, or similar tools.
• Familiarity with Symitar PowerOn, SymConnect, or SymXchange is a plus
• Understanding of data governance and compliance in financial services.

• Target Range: $118,617.90 to $148,272.38, annually

• Medical/Dental/Vision on the first day of employment for full-time employees
• Free Long Term Care Insurance for employees
• Tuition Reimbursement/Student Loan Repayment Plan
• Pension Plan/401K
• Bonus and incentive potential
• Generous Paid Time Off (PTO)/Holiday program
• Career growth support and planning programs
• In-house fitness center
• Discounts on new Mortgage after 6 months of employment