AI/ML Business Analyst

You will be accountable for translating commercial opportunities into clear business requirements and driving process change. This includes using experimentation to build the case for change and influencing senior leaders through structured analysis and financial reasoning. You will collaborate closely with business, product, data science, and engineering teams to ensure new product features align with defined business needs. This role does not own a product roadmap, feature backlog, or delivery team.

This position sits at the intersection of commerce, data science, product, engineering, and business strategy, with a strong focus on decision quality, experimentation, and measurable commercial impact.

Responsibilities

Lead complex business analysis for global, high-impact AI/ML initiatives across digital commerce, personalization, subscriptions, and publishing operations

Translate complex commercial objectives into actionable business requirements with clear, measurable outcomes

Partner with product, engineering, and data science teams to ensure business requirements are met and to support successful product development and delivery

Influence senior stakeholders through structured problem framing, financial analysis, and data-informed recommendations

Collaborate with data analytics teams to define, execute, and evaluate experiments focused on personalization, revenue growth, and operational efficiency

Map end-to-end business processes and guide process improvement and automation efforts to drive operational efficiencies

Mentor team members in AI/ML business analysis and product development methodologies, promote responsible data practices, and foster a culture of continuous learning

What This Role Is Not

Not a Product Manager role

Not feature or roadmap ownership

Not delivery or execution management

Not a purely technical ML, data science or data analyst role

8+ years of experience in Business Analysis within digital commerce, subscriptions or retail businesses

Bachelor's degree or equivalent

Decompose vague business problems into structured analytical questions and clear business requirements

Partner with product, engineering and data science teams to design and deliver commerce and tooling solutions

Define decision logic before proposing solutions

Challenge assumptions and build arguments using data and financial reasoning

Map complex business process and direct teams through process improvement and automation initiatives

Strong experience working alongside data science / machine learning teams, including:

Defining requirements for AI / ML enabled solutions

Evaluating model applicability and limitations

Translating model outputs into business decisions

Deep understanding of experimentation and measurement

Commercial mindset with comfort discussing unit economics, marginal vs absolute lift, and ROI

Executive-level communication skills, able to explain complex concepts clearly and credibly, backed by data-driven arguments Experience with personalization, next best action frameworks, or decision automation

Familiarity with AI governance, ethics, and responsible data practices

Experience operating in global, cross-functional environments