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Senior Analyst, AI & Data Product Delivery

Senior Analyst, AI & Data Product Delivery - (058VH)

Description

At Bath & Body Works, we believe everybody deserves to feel good. When you join us, you're part of more than an iconic fragrance and personal care brand — you become part of Gingham Nation, where people are at the center of everything we do.

We believe great associate experiences create great consumer experiences. When our associates feel supported, inspired and empowered, consumers feel it. Whether you're starting your career or building your next chapter, we invest in your growth so you can learn, lead and help create feel good moments every day.

This Senior Analyst role, focused on AI & Data Product Delivery, serves as an Agile delivery lead for Data Science, Machine Learning, Artificial Intelligence, and Analytics products. This role partners with business' interested parties, product owners, data scientists, engineers, architects, analysts and governance teams to translate business opportunities into prioritized, measurable, and delivery-ready work.
The Senior Analyst owns backlog quality and product delivery visibility, facilitates Agile execution, coordinates dependencies and releases, and ensures solutions progress from discovery and experimentation through responsible production adoption. This position serves as the critical bridge between interested parties and technical teams, driving alignment, transparency, and measurable business outcomes.

Responsibilities

• Lead backlog refinement, sprint planning, sprint reviews, retrospectives, and release readiness activities.
• Facilitate Agile ceremonies and ensure teams maintain clear priorities and actionable outcomes.
• Serve as the team's Jira expert, maintaining backlog structure, dashboards, workflows, dependencies, and reporting.
• Monitor sprint progress, identify blockers, and coordinate resolution across teams.
• Track risks, assumptions, decisions, dependencies, and action items.
• Drive continuous improvement through Agile standard methodologies and retrospective insights.
• Support release planning, deployment readiness, and post-release validation activities.
• Partner with Data Science, AI, Machine Learning, Data Engineering, and Analytics teams to deliver business value.
• Define data requirements, experimentation plans, model evaluation criteria, and operational readiness expectations.
• Ensure lifecycle planning includes validation, governance, deployment, monitoring, drift management, and ongoing support.
• Integrate Responsible AI, privacy, security, and governance requirements into delivery processes.
• Promote adoption of AI and analytics solutions through effective business participant engagement and change practices.
• Communicate roadmap status, delivery progress, risks, tradeoffs, and outcomes to leadership and interested parties.
• Establish operating cadences, decision-making processes, and resolution paths.
• Facilitate prioritization discussions and resolve competing demands.
• Coordinate dependencies across multiple teams and initiatives.
• Prepare executive-ready presentations, status updates, and recommendations.
• Other duties as assigned.

Qualifications

Qualifications

• 5+ years of experience in Product Ownership, Technical Project Management, Technical Program Management, Business Analysis, Agile Delivery, Analytics Delivery, or related disciplines.
• Demonstrated experience supporting Agile teams and managing work using Jira.
• Experience translating complex business needs into actionable requirements and delivery plans.
• Working knowledge of Data Science, Machine Learning, Artificial Intelligence, Analytics, or Data Platform delivery lifecycles.
• Excellent written and verbal communication skills with the ability to influence across organizational levels.
• Proven ability to work effectively across business and technical teams without direct authority.
• Experience supporting AI, Machine Learning, Data Science, Analytics, or Data Engineering organizations.
• Experience with Confluence, roadmapping tools, and Agile portfolio management practices.
• Familiarity with SQL, cloud platforms, modern data platforms, and analytics ecosystems.
• Knowledge of MLOps, experimentation frameworks, model monitoring, Generative AI, and Responsible AI practices.
• Retail, consumer products, eCommerce, customer analytics, or digital product experience.

Education

• Bachelor's degree in Business, Information Systems, Computer Science, Engineering, Analytics, Data Science, or a related field; or equivalent combination or relevant education and experience.
• Certified Scrum Product Owner (CSPO), Professional Scrum Product Owner (PSPO), Scrum Master, PMI-ACP, SAFe, PMP, or equivalent certification.

Core Competencies

  • Drives Results
  • Action Oriented
  • Collaborates
  • Decision Making
  • Nimble Learning

Benefits

Feeling good starts with you. We invest in benefits that support your well-being, growth and future, helping you thrive as a creator of feel good — every day. Benefits for eligible associates include:

  • Robust medical, dental, vision and pharmacy coverage. Plus, access to our onsite wellness center and pharmacy located at the Columbus, OH home office.
  • No-cost mental health and well-being support through our Employee Assistance Program (EAP).
  • 401(k) with company match and Associate Stock Purchase Program with discount.
  • Opportunity for paid time off, paid parental leave and access to family building benefits.
  • Home, auto and pet insurance and a company-provided Care.com subscription.
  • Tuition reimbursement and scholarship opportunities for post-secondary education.
  • Enjoy complimentary products and a 40% merchandise discount so you can experience and share the brand you love.
  • Visit bbwbenefits.com for more details.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required.

We will consider for employment all qualified applicants, including those with arrest records, conviction records, or other criminal histories, in a manner consistent with the requirements of any applicable state and local laws. Please see links: [Los Angeles Fair Chance In Hiring Ordinance](https://bca.lacity.gov/sites/default/files/Uploads/fciho/FCIHO Notice to Applicants for Private Employers - English ADA Final.pdf), Philadelphia Fair Chance Law, San Francisco Fair Chance Ordinance, [Washington Fair Chance Act Guide](https://agportal-s3bucket.s3.us-west-2.amazonaws.com/Civil Rights Division/Fair Chance Act/FCA-Flyer_June 2026_English_Update.pdf?VersionId=mmfHLJ9an2.w58wsyA2a.Buxej.FZ06Y)

We are an equal opportunity employer. We do not make employment decisions based on an individual’s race, color, religion, gender, gender identity, national origin, citizenship, age, disability, sexual orientation, marital status, pregnancy, genetic information, protected veteran status or any other legally protected status, and we comply with all laws concerning nondiscriminatory employment practices. We are committed to providing reasonable accommodations for associates and job applicants with disabilities. Our management team is dedicated to ensuring fulfillment of this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, associate activities and general treatment during employment. We only hire individuals authorized for employment in the United States.

Application window will close when all vacancy/vacancies are filled.

Primary Location

United States-Ohio-Columbus

Work Locations

L Brands Home Office.

Three Limited Parkway

Columbus 43230

Job

Data Management

Organization

BBW Home Office

Schedule

Regular

Shift

Standard

Employee Status

Individual Contributor

Job Type

Full-time

Job Level

Day Job

Job Posting

Sep 8, 2026, 7:22:36 PM

Employee Referral Bonus

2,500.00 US Dollar (USD)

Pay Range

95,000.00 - 140,800.00

Skills

  • Agile
  • Scrum
  • Product Management
  • Data Science
  • Machine Learning
  • Analytics
  • Stakeholder Management

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