656 Yield Manager jobs in the United States

Description

Position at Conair LLC

About Us:

Conair is a leading international designer, manufacturer, and marketer of branded personal care and small kitchen appliances, cookware, hairbrushes & accessories, cosmetic bags, and travel accessories.

Conair has always been driven by a passion for innovation; it's part of the Company's DNA. Trendsetting products have been invented by Conair since its inception in 1959, keeping the Company always a step ahead of the competition. The company's domestic and international divisions offer a diversified mix of consumer and professional products sold in over 120 countries. The Family of Conair brands includes CONAIR, Cuisinart, BabylissPRO, Scünci , TRAVELSMART by CONAIR, and Waring.

Conair's passion for innovation gets stronger with each decade, as evidenced by the over 1,000 patents the Company has obtained worldwide. Today, Conair and its brands are names known throughout the world. Conair continues to introduce its brands to new and emerging markets, year after year. By the 1990s, most households in America owned at least one Conair product. Today many have more than one, and the Company's goal is to ensure that every household in the world eventually owns one of our products.

At Conair, we inspire our customers with innovative high-quality products and

iconic brands that enhance their lives.

Job Summary:

We are seeking a data-driven and highly analytical Supply Chain Analyst to support our demand forecasting, planning, and decision-making processes. This role requires deep expertise in statistical forecasting , Excel modeling , and dashboard creation , with the ability to simplify complex data for clear business impact. Experience in S&OE, S&OP , POS data, price elasticity modeling, and inventory strategy is essential. Exposure to consulting environments is a plus, as is a strong ability to communicate and collaborate across business functions.

Key Responsibilities:

• Lead development and refinement of statistical demand forecasts at SKU, product family, and customer levels using quantitative models and historical data.
• Support and enhance the S&OP process by providing data-driven insights, forecast performance analysis, and scenario planning.
• Analyze price elasticity, POS and promotional lift to forecast demand shifts and optimize pricing strategies.
• Calculate and maintain safety stock levels and planning parameters using statistical models and variability analysis.
• Build and manage dashboards and reporting tools to visualize KPIs, forecast accuracy, and inventory trends.
• Design and deliver PowerPoint presentations that translate complex supply chain issues into clear, actionable recommendations.
• Collaborate cross-functionally with Sales, Marketing, Finance, and Operations to align demand plans and drive business goals.
• Work with large datasets to perform advanced analytics , root cause analysis, and data cleansing using Excel and other tools.
• Continuously improve forecasting models, metrics, and data infrastructure.
• Consulting experience or exposure to high-paced, client-facing environments is a strong plus.

Qualifications:

• Bachelor's degree in supply chain, Business Analytics, Statistics, Economics, Engineering, or related field; master's preferred.
• 5+ years of experience in supply chain analytics , demand planning , or a related function.
• Proficient in statistical forecasting techniques (e.g., regression, time series, exponential smoothing).
• Expert-level Excel skills including pivot tables, Power Query, advanced formulas, and VBA (a plus).
• Experience with dashboard creation using tools like Power BI, Tableau, or similar.
• Strong working knowledge of ERP and planning tools (e.g., SAP IBP, Oracle, Anaplan, Kinaxis).
• Ability to distill and communicate complex analytics to a non-technical audience through strong verbal, written, and presentation skills.
• Self-starter with critical thinking skills, curiosity, and a collaborative attitude.
• Experience in a consulting role or cross-functional project work is a plus.

Environmental Factors:

• Working conditions are normal for an office environment.
• Must be able to sit for extended periods of time.
• Must be able to use a computer keyboard and view a monitor for extended periods of time.
• This role requires on-site presence Monday through Thursday, with the flexibility to work remotely from anywhere on Fridays.

What we offer:

• Comprehensive Medical/Dental/Vision plans
• Generous Paid Time Off Programs
• Life & Disability Insurance
• FSA/HSA/Dependent Care FSA
• Paid Parental Leave
• 401k and company match
• EAP & Employee Wellness Programs
• Volunteer Days Paid Time Off
• Free breakfast and lunch in the Stamford office

Are you passionate about this opportunity but worried that you don't have 100% of the experience we're looking for? We still want to hear from you! Apply online and let us know why you would make a great addition to Conair!

We are looking for a strategic, data science-driven leader to own and evolve the Demand Planning function within the Workforce Management (WFM) organization. In this M3 role, you will be responsible for building and scaling the models, systems, and processes that forecast enterprise demand-helping the company align capacity, staffing, and investment with the realities of a dynamic, customer-centric operation.

This is not a traditional planning role-demand planning is the function, and data science is the craft. You will lead a team that applies advanced modeling techniques, scenario analysis, and deep business context to forecast volume, case mix, seasonality, and other demand drivers that influence how we staff, budget, and operate.

Responsibilities

* Own the enterprise-wide demand forecasting strategy, ensuring it is rigorous, data-informed, and embedded in operational and financial planning cycles.
* Design and lead the development of predictive models using time series analysis, machine learning, and simulation methods to forecast future workforce demand.
* Translate complex business signals into model features, accounting for drivers such as customer volume, operational complexity, product launches, and policy changes.
* Manage and grow a high-performing team of data scientists and analysts who specialize in demand modeling and scenario planning.
* Operationalize forecasting outputs by delivering timely, accurate, and scenario-based projections to partners across Finance, Capacity Planning, and Operations.
* Build scalable infrastructure to support automated pipelines, forecast versioning, model monitoring, and reproducibility in partnership with data engineering.
* Continuously evaluate and improve forecast performance, incorporating new data sources, evolving business needs, and changes in planning granularity.
* Influence key decisions through clear communication of forecast insights, risks, and trade-offs with executive stakeholders.
* Foster a planning culture grounded in scientific thinking, modeling excellence, and strategic relevance.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is:

Southern California: $222,000 - $300,000

This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit: Careers | Benefits).Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender

Qualifications

* 10+ years of experience in data science, forecasting, or quantitative workforce planning, with a proven track record of leading high-impact technical teams.
* Expertise in applied statistics, time series forecasting, machine learning, and experimentation.
* Proficiency in Python or R, SQL, and modern ML/forecasting libraries (e.g., Prophet, scikit-learn, XGBoost, PyTorch, TensorFlow).
* Deep understanding of workforce planning principles-capacity, productivity, SLAs, and staffing models.
* Demonstrated ability to apply data science to complex operational and strategic business problems.
* Strong communication skills with experience influencing cross-functional executives.
* Experience building forecasting systems at scale, including model management and data pipeline integration.

**Overview**

We are looking for a strategic, data science-driven leader to own and evolve the **Demand Planning function** within the Workforce Management (WFM) organization. In this M3 role, you will be responsible for building and scaling the models, systems, and processes that forecast enterprise demand-helping the company align capacity, staffing, and investment with the realities of a dynamic, customer-centric operation.

This is not a traditional planning role- **demand planning is the function, and data science is the craft.** You will lead a team that applies advanced modeling techniques, scenario analysis, and deep business context to forecast volume, case mix, seasonality, and other demand drivers that influence how we staff, budget, and operate.

**What you'll bring**

+ 10+ years of experience in data science, forecasting, or quantitative workforce planning, with a proven track record of leading high-impact technical teams.

+ Expertise in applied statistics, time series forecasting, machine learning, and experimentation.

+ Proficiency in Python or R, SQL, and modern ML/forecasting libraries (e.g., Prophet, scikit-learn, XGBoost, PyTorch, TensorFlow).

+ Deep understanding of workforce planning principles-capacity, productivity, SLAs, and staffing models.

+ Demonstrated ability to apply data science to complex operational and strategic business problems.

+ Strong communication skills with experience influencing cross-functional executives.

+ Experience building forecasting systems at scale, including model management and data pipeline integration.

**How you will lead**

+ **Own the enterprise-wide demand forecasting strategy** , ensuring it is rigorous, data-informed, and embedded in operational and financial planning cycles.

+ **Design and lead the development of predictive models** using time series analysis, machine learning, and simulation methods to forecast future workforce demand.

+ **Translate complex business signals into model features** , accounting for drivers such as customer volume, operational complexity, product launches, and policy changes.

+ **Manage and grow a high-performing team** of data scientists and analysts who specialize in demand modeling and scenario planning.

+ **Operationalize forecasting outputs** by delivering timely, accurate, and scenario-based projections to partners across Finance, Capacity Planning, and Operations.

+ **Build scalable infrastructure** to support automated pipelines, forecast versioning, model monitoring, and reproducibility in partnership with data engineering.

+ **Continuously evaluate and improve forecast performance** , incorporating new data sources, evolving business needs, and changes in planning granularity.

+ **Influence key decisions through clear communication of forecast insights** , risks, and trade-offs with executive stakeholders.

+ **Foster a planning culture grounded in scientific thinking** , modeling excellence, and strategic relevance.

_Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is:_

Southern California: $222,000 - $300,000

_This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at_ _Intuit®: Careers | Benefits ( _)._ _Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender_

EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.

US Sales Financial Analyst, Demand Forecasting & Analysis

Cupertino, California, United States Corporate Functions

Description

Apples Demand Forecast and Analysis group is seeking a Financial Analyst to support the US Channel business. You should be highly motivated, team oriented, and a process driven individual who will become a dedicated business partner supporting our Controller, Sales Directors, Route-to-Market Finance, WW Sales Finance, Sales Operations, Supply Demand Management and Reseller Operations. You will be able to work both independently and also be a phenomenal teammate. You should have the ability to effectively and thoroughly analyze data, present the findings in a clear, concise manner and communicate the key take-aways in an executive style.

Responsibilities

• Financial modeling, reporting and market analysis, and written and verbal presentations to senior management and executives.
• Forecasting weekly sell through, sell in and channel inventory by analyzing performance to date and assessing potential risks and opportunities
• Proposing detailed revisions to current quarter forecast on weekly basis and explaining internal and external drivers and financial impact
• Quantifying the uplifts associated with promotional offers and sizing the non-promotional baseline demand used for sales negotiations
• Building quarterly unit forecast for future quarters and tracking and understanding business performance against it and reasons for performance variances
• Understanding the US Channel business and strategy, and how variables such as historical performance, seasonality, promotions, sales initiatives and macro economic environment affect current business trends
• Becoming the subject matter authority on understanding the consumer electronics industry staying up to speed with the various competitor launches/promotions and service plan offerings.
• Standard reporting and ad-hoc analysis by building and managing scalable excel models (Tableau and Business Objects experienced preferred)
• Supporting ongoing development of Apples business support systems

Minimum Qualifications

• 2+ years of finance experience, or related forecast/planning experience
• Bachelors degree in finance or accounting

Preferred Qualifications

• Demonstrated success in balancing multiple activities/projects, priorities, and people in a dynamic, fast-growing, results-driven environment
• Exhibit the highest standards of accuracy and strong organizational skills
• Confirmed analytical and problem solving skills
• Proven ability to build effective business partnerships in a cross-functional organization
• Ability to see the big picture while simultaneously zooming into the details
• Ability to work under tight deadlines and deal with ambiguity
• Experience with Demantra, Business Objects, Tableau and Essbase

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $110,500 and $166,100, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apples discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apples Employee Stock Purchase Plan. Youll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .

#J-18808-Ljbffr

**Overview**
We are looking for a strategic, data science-driven leader to own and evolve the **Demand Planning function** within the Workforce Management (WFM) organization. In this M3 role, you will be responsible for building and scaling the models, systems, and processes that forecast enterprise demand-helping the company align capacity, staffing, and investment with the realities of a dynamic, customer-centric operation.
This is not a traditional planning role- **demand planning is the function, and data science is the craft.** You will lead a team that applies advanced modeling techniques, scenario analysis, and deep business context to forecast volume, case mix, seasonality, and other demand drivers that influence how we staff, budget, and operate.
**What you'll bring**
+ 10+ years of experience in data science, forecasting, or quantitative workforce planning, with a proven track record of leading high-impact technical teams.
+ Expertise in applied statistics, time series forecasting, machine learning, and experimentation.
+ Proficiency in Python or R, SQL, and modern ML/forecasting libraries (e.g., Prophet, scikit-learn, XGBoost, PyTorch, TensorFlow).
+ Deep understanding of workforce planning principles-capacity, productivity, SLAs, and staffing models.
+ Demonstrated ability to apply data science to complex operational and strategic business problems.
+ Strong communication skills with experience influencing cross-functional executives.
+ Experience building forecasting systems at scale, including model management and data pipeline integration.
**How you will lead**
+ **Own the enterprise-wide demand forecasting strategy** , ensuring it is rigorous, data-informed, and embedded in operational and financial planning cycles.
+ **Design and lead the development of predictive models** using time series analysis, machine learning, and simulation methods to forecast future workforce demand.
+ **Translate complex business signals into model features** , accounting for drivers such as customer volume, operational complexity, product launches, and policy changes.
+ **Manage and grow a high-performing team** of data scientists and analysts who specialize in demand modeling and scenario planning.
+ **Operationalize forecasting outputs** by delivering timely, accurate, and scenario-based projections to partners across Finance, Capacity Planning, and Operations.
+ **Build scalable infrastructure** to support automated pipelines, forecast versioning, model monitoring, and reproducibility in partnership with data engineering.
+ **Continuously evaluate and improve forecast performance** , incorporating new data sources, evolving business needs, and changes in planning granularity.
+ **Influence key decisions through clear communication of forecast insights** , risks, and trade-offs with executive stakeholders.
+ **Foster a planning culture grounded in scientific thinking** , modeling excellence, and strategic relevance.
_Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is:_
Southern California: $222,000 - $300,000
_This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at_ _Intuit®: Careers | Benefits ( _)._ _Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender_
EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.

Description

Do you enjoy solving complex business problems, transforming data into insights, and using data to drive product decisions? We are seeking an individual who has combination of superior analytical and technical abilities, business acumen, and written and verbal communication skills. Data-driven decision-making is at the core of Amazon's culture. The ideal candidate has deep expertise in gathering requirements and insights, mining large and diverse data sets, data visualization, writing complex SQL queries, building rapid prototype using Python/ R and generating insights that enable senior leaders to make critical business decisions. The ideal candidate will have excellent analytical and communication skills and the ability to thrive in ambiguous situations.

BASIC QUALIFICATIONS

• Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

• 3+ years of hands-on analytics work experience, with proven quantitative orientation

• 3+ years of work experience using business intelligence tools like Tableau, QuickSight, PowerBI, etc. as well as advanced skills in Excel

• Hands on experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.

• 2+ years of work experience in hands-on forecast modeling and statistical analysis

PREFERRED QUALIFICATIONS

• Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

• Experience working directly with business stakeholders to translate between data and business needs

• 2+ years of professional experience in building demand forecasting models or equivalent field

Key job responsibilities

Key job responsibilities:

• The role requires technical agility with understanding of forecasting methods and models

• Owning the analytics space including the BI architecture to support Forecast Planning cycles

• Design, develop and maintain scalable and reliable analytical tools, dashboards, and metrics that drive key forecast and planning decisions

• Conduct deep dive analyses of business problems and formulate conclusions and recommendations; determine optimized courses of action to deliver comprehensive analytical solutions

• Engage stakeholders in constructive dialogues to convert business problems into logic problems that can be solved with data, statistics, and scripting

• Work closely with Forecasting Managers, Economists and BIEs to build forecasting models for new business use cases and improve existing forecasting systems

• Deep diving gaps within forecasting tools and systems and provide feedback to the Sciences team

A day in the life

The Selling Partners Support ecosystem is constantly evolving and our analytics systems must be maintained and adapted to ensure our measurement strategy and reporting mechanisms accommodate these changes. Build a variety of analytics and visualization solutions to support our team. Autonomously perform deep dives, uncovering new trends/areas that may need attention. Partner closely with Program Managers to help design experiments and look for new opportunities with focus on 1) designing the right set of metrics that will allow us to measure our overall routing performance across key systems, as well as 2) Standardize input data feeds into our products.

About the team

Selling Partner Services is responsible for creating a trustworthy shopping experience across Amazon stores worldwide by protecting customers, brands, selling partners and Amazon from fraud, counterfeit, and abuse as well as empowering, providing world-class support, and building loyalty with Amazon's millions of selling partners. We value individual expression, respect different opinions, and work together to create a culture where each of us is able to contribute fully. Our unique backgrounds and perspectives strengthen our ability to achieve Amazon's mission of being Earth's most customer-centric company. The Selling Partner Support (SP-Support) team within Selling Partner Services handles the majority of support interactions with Selling Partners (Sellers, Vendors, and Brand Owners), but also work with many other teams across Selling Partner Services and other Amazon teams to collectively solve Selling Partner issues.

Basic Qualifications

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience

• Experience with data visualization using Tableau, Quicksight, or similar tools

• Experience with data modeling, warehousing and building ETL pipelines

• Experience in Statistical Analysis packages such as R, SAS and Matlab

• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred Qualifications

• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift

• Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

• 2+years of professional experience in building demand forecasting models or equivalent field

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Description
Do you enjoy solving complex business problems, transforming data into insights, and using data to drive product decisions? We are seeking an individual who has combination of superior analytical and technical abilities, business acumen, and written and verbal communication skills. Data-driven decision-making is at the core of Amazon's culture. The ideal candidate has deep expertise in gathering requirements and insights, mining large and diverse data sets, data visualization, writing complex SQL queries, building rapid prototype using Python/ R and generating insights that enable senior leaders to make critical business decisions. The ideal candidate will have excellent analytical and communication skills and the ability to thrive in ambiguous situations.
BASIC QUALIFICATIONS
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 3+ years of hands-on analytics work experience, with proven quantitative orientation
- 3+ years of work experience using business intelligence tools like Tableau, QuickSight, PowerBI, etc. as well as advanced skills in Excel
- Hands on experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.
- 2+ years of work experience in hands-on forecast modeling and statistical analysis
PREFERRED QUALIFICATIONS
- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- Experience working directly with business stakeholders to translate between data and business needs
- 2+ years of professional experience in building demand forecasting models or equivalent field
Key job responsibilities
Key job responsibilities:
- The role requires technical agility with understanding of forecasting methods and models
- Owning the analytics space including the BI architecture to support Forecast Planning cycles
- Design, develop and maintain scalable and reliable analytical tools, dashboards, and metrics that drive key forecast and planning decisions
- Conduct deep dive analyses of business problems and formulate conclusions and recommendations; determine optimized courses of action to deliver comprehensive analytical solutions
- Engage stakeholders in constructive dialogues to convert business problems into logic problems that can be solved with data, statistics, and scripting
- Work closely with Forecasting Managers, Economists and BIEs to build forecasting models for new business use cases and improve existing forecasting systems
- Deep diving gaps within forecasting tools and systems and provide feedback to the Sciences team
A day in the life
The Selling Partners Support ecosystem is constantly evolving and our analytics systems must be maintained and adapted to ensure our measurement strategy and reporting mechanisms accommodate these changes. Build a variety of analytics and visualization solutions to support our team. Autonomously perform deep dives, uncovering new trends/areas that may need attention. Partner closely with Program Managers to help design experiments and look for new opportunities with focus on 1) designing the right set of metrics that will allow us to measure our overall routing performance across key systems, as well as 2) Standardize input data feeds into our products.
About the team
Selling Partner Services is responsible for creating a trustworthy shopping experience across Amazon stores worldwide by protecting customers, brands, selling partners and Amazon from fraud, counterfeit, and abuse as well as empowering, providing world‐class support, and building loyalty with Amazon's millions of selling partners. We value individual expression, respect different opinions, and work together to create a culture where each of us is able to contribute fully. Our unique backgrounds and perspectives strengthen our ability to achieve Amazon's mission of being Earth's most customer-centric company. The Selling Partner Support (SP-Support) team within Selling Partner Services handles the majority of support interactions with Selling Partners (Sellers, Vendors, and Brand Owners), but also work with many other teams across Selling Partner Services and other Amazon teams to collectively solve Selling Partner issues.
Basic Qualifications
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Preferred Qualifications
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- 2+years of professional experience in building demand forecasting models or equivalent field
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Job Description

Title: Sr. Director, Demand Forecast AI & Supply Chain Product Management

Reporting Structure: SVP, Product Management

Location: United States

We are seeking a results-driven and domain-savvy Senior Director of Demand Forecasting & Replenishment to lead strategic initiatives and solution development across our retail and consumer goods clients. This leader will drive thought leadership, innovation, and roadmap alignment around forecasting, inventory planning, replenishment, and supply chain execution-with a focus on enabling measurable value through AI, automation, and advanced analytics.

This is a cross-functional, high-impact role working closely with Product, Data Science, Sales, Customer Success, and Engineering teams to deliver scalable and high-performing supply chain solutions.

Key Responsibilities

Strategy & Solution Leadership

* Define and execute the vision and strategy for demand planning and replenishment capabilities within the Retail/CPG vertical.
* Lead market analysis to identify evolving customer needs, technology trends, and competitive differentiation.
* Partner with Product and Engineering to shape solution roadmaps aligned to retailer and CPG supply chain needs.

Forecasting & Replenishment Expertise

* Develop frameworks for forecast accuracy, inventory turnover, replenishment for DC and stores. Develop a roadmap for enhancing and creating a market advantage for other supply chain products such as MDM, Allocation and store execution.
* Guide the development of machine learning models for demand sensing, seasonality detection, and supply signal integration.
* Align replenishment strategies with business goals (e.g., OTIF, cost-to-serve, working capital reduction).

Customer Engagement & Enablement

* Act as a strategic advisor to top-tier clients, co-developing solutions and demonstrating value realization from pilot to scale.
* Lead executive briefings, workshops, and advisory sessions on demand and supply planning best practices.
* Help drive pre-sales conversations, RFP responses, and value proofing alongside Sales and Solutions teams.

Go-to-Market & Internal Collaboration

* Develop use cases, customer stories, and ROI cases for GTM materials and field enablement.
* Collaborate with Marketing and Sales to translate technical capabilities into compelling positioning for business stakeholders.
* Work with Customer Success and Delivery teams to ensure seamless implementation and sustained impact.
* Develop product positioning and pricing strategies to gain market share and maximize profits.

Qualifications

* 12+ years of experience in retail or CPG supply chain management, preferably in demand planning, forecasting, MDM, allocation, store operations.
* Experience in SaaS, enterprise software, or consulting focused on supply chain transformation highly preferred.
* Deep domain knowledge in tools such as Blue Yonder, SAP IBP, o9, Relex, Oracle RPAS.
* Proven success in managing cross-functional teams and influencing product direction in matrixed organizations.
* Strong executive communication skills with the ability to translate analytics and strategy into clear business value.
* Background in data science, analytics, or AI/ML application to forecasting is a strong plus.
* Bachelor's degree in supply chain, Engineering, Business, or related field; MBA or advanced degree preferred.

What We Offer

* Opportunity to lead innovation in the future of demand and supply chain technology.
* A collaborative, high-impact role within a fast-growing SaaS company.
* Competitive salary, bonus, equity, and benefits.
* Exposure to leading global retailers and CPG brands. #LI-KV1 #LI-Remote

Position Summary.

What you'll do.

Manager, Yield Operations

About WMC

Want to change the face of digital advertising? Want to re-imagine how the world's largest omni-channel consumer database can be used to power targeted ad campaigns for the largest brands in the world? We are rethinking digital advertising here at Walmart and are looking for some great people to help make this happen.

At Walmart Connect, We connect brands more meaningfully in customers' everyday lives to accelerate shared growth. As stewards of our brand promise, "Save Money. Live Better," we work alongside some of the most talented people in the world to engage with the more than 150M households who shop with us each week. This is a unique opportunity to join a high-visibility team with a big impact on our omni-channel business. We believe all digital advertising across search and display, both in-store and online, can be targeted, effective and accountable -- and we have Walmart's retail sales data to prove it.

What you'll do.

The Yield Operations Manager will manage day-to-day yield decisions, pricing, deals and discounts, evaluation of inventory volume, rollout of rate cards while partnering closely with Sales Ops, Sales, Ad Ops and the Analytics team in ensuring maximum budget fulfillment, creation and review of media plans and packages, and advising direct Sales on what we can fulfill.

The key focus areas for the Yield Operations Manager are:

* Own inventory management including forecasting and monitoring inventory for Categories and Advertisers.
* Leverage campaign performance data to analyze and identify new ways to maximize ad revenue and provide actionable recommendations to Sales teams to hit goals.
* Lead Advertiser trends, performance, and action-oriented metric reviews with internal teams (revenue, impressions, clicks by Advertiser/campaigns).
* Work with Sales and Sales Ops to identify potential areas of opportunities and risks with contracts and connect those with financial impact.
* Own the enforcement of policies and processes related to makegoods, pricing, and discounts.
* Work with Sales Ops and Sales to define the process in managing premium inventory bookings while working with Tools teams to build automated solutions.
* Work with the Analytics and Tools teams to build operational and revenue models that show the impact of the Yield Ops strategies.
* Provide input to Ad Ops on campaign pacing and optimization.

Qualifications

* 5+ years of progressive media analytics experience in a digital advertising environment.
* Excellent communicator, across multiple levels/functions with the ability to influence and drive action.
* Strong written, presentation and verbal communication with the ability to express complex topics clearly and easily.
* Strong working knowledge of Ad network/Ad exchange/DSP/SSP/Publisher preferred.
* Proven track record of partnering with Sales, Sales Ops, and Ad Ops to achieve yield optimization results.
* Excellent quantitative and qualitative problem-solving skills, experience with financial analysis, forecasting and modeling.
* Experience in developing monetization strategies, inventory optimization, and campaign management.
* Ability to thrive in a fast-paced, startup like environment.
* Excellent time management skills with a focus on execution, ability to juggle multiple urgent requests and prioritize responsibilities.
* Familiarity with CRM and AdTech systems (Salesforce, DFP, Google Ads Manager, etc.).

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.

You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.

For information about PTO, see Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.

For information about benefits and eligibility, see One.Walmart.

The annual salary range for this position is $96,000.00-$186,000.00

Additional compensation includes annual or quarterly performance bonuses.

Additional compensation for certain positions may also include:

* Stock

Minimum Qualifications.

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Preferred Qualifications.

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Primary Location.

221 River St, Hoboken, NJ 07030, United States of America