Senior Manager, Data Science Product - Cross-Channel Ads Measurement - Walmart Connect

Position Summary.
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What you'll do.
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Walmart Connect is key to Walmart's growth strategy.
Walmart has built a ~$3 billion dollar closed loop, in-house advertising business that is a robust, true omnichannel, media services division with WMC.
We partner closely with brands on strategies and solutions that harness Walmart's unparalleled omnichannel influence.
We deliver relevant retail ads and experiences that connect our customers with the brands and products they love.
And we use Walmart's proprietary online and in-store data, encompassing 95% of American households, to measure campaign-correlated sales on our site and in our stores.
We are in search of an exceptional Product Data Science Manager with specialized expertise in cross-channel ads measurement to lead our ambitious product initiatives in the retail media landscape.
This role demands a visionary leader who blends technical expertise with strategic acumen to develop solutions that empower advertisers to navigate the complexities of today's retail media and digital marketing ecosystem effectively Responsibilities Lead the development and execution of the product vision and strategy for our cross-channel ads measurement solutions including Marketing-mix modeling, Multi-touch Attribution, Sales Lifts, Ghost Ads, Incremental analysis, Casual inference.
Aligning with the overall business objectives and customer needs Collaborate with engineering, UX/UI, sales, marketing, and analytics teams to design, build, and launch products that deliver measurable value to our clients Conduct in-depth market research to identify emerging trends, technologies, and opportunities in cross-channel measurement within the Retail Media space Collaborate with key stakeholders to gather and prioritize product requirements and feedback, translating them into actionable product features and improvements Define and analyze key performance indicators that inform the success of products, using data-driven insights to drive continuous optimization and innovation Establish robust metrics and analytics frameworks to evaluate product performance, drive continuous improvement, and justify product decisions with data Champion a culture of excellence in product development, advocating for best practices in user experience, technology integration, and data privacy Serve as the subject matter expert for ads measurement, providing thought leadership and guidance to internal teams and external partners Minimum Qualifications Bachelor's degree in Business, Marketing, Computer Science, or related fields Minimum of 8 years of product management experience, with at least 3 years focused on the Retail Media or digital advertising industry Demonstrated success in leading product lines from conceptualization to market launch and post-launch optimization, particularly in a fast-evolving industry sector Proven track record of developing and launching successful products in cross-channel ads measurement or a similar area Deep understanding of the advertising technology stack, analytics platforms, and measurement methodologies, both online and offline Strong analytical skills and familiarity with measurement methodologies and technologies used in digital and offline advertising Excellent leadership and communication skills, capable of inspiring a team and influencing stakeholders at all levels Agile and adaptable, comfortable working in a fast-paced and evolving industry landscape.
Preferred Qualifications Master degree in Business, Statistics, Economics, Operations Research, or related field Experienced in building market mix and multi-touch attribution models Experience with advertising technology platforms Ad servers, DSPs, DMPs, etc.
A visionary thinker with a passion for uncovering new opportunities in the intersection of retail and digital media Agile and resilient, with a proven ability to navigate ambiguity and lead teams through complex product development cycles A strong advocate for user-centric design and ethical data use, ensuring products meet the highest standards of usability and privacy.
Expertise in the Retail Media ecosystem, including knowledge of e-commerce platforms, online and offline channels, and consumer behavior analytics Experience with data privacy regulations (e.
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, GDPR, CCPA) and their implications for ads measurement Familiarity with agile development methodologies and tools Strategic thinker with an innovative mindset, always looking for new ways to solve complex problems.
At Walmart, we offer competitive pay as well as performance-based incentive 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 https://one.
walmart.
com/notices .
Live 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 at https://bit.
ly/3iOOb1J .
The annual salary range for this position is $143,000.
00-$286,000.
00 Additional compensation includes annual or quarterly performance incentives.
Additional compensation for certain positions may also include: - Regional Pay Zone (RPZ) (based on location) - Stock equity incentives Minimum Qualifications.
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Outlined below are the required minimum qualifications for this position.
If none are listed, there are no minimum qualifications.
Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field.
Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field.
Option 3: 7 years' experience in an analytics or related field.
Preferred Qualifications.
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Outlined below are the optional preferred qualifications for this position.
If none are listed, there are no preferred qualifications.
Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch) Primary Location.
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850 Cherry Avenue, San Bruno, CA 94066-3031, United States of America