AI/ML Business Analyst
Insight Global
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
Required Skills & Experience 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
Nice to Have Skills & Experience 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
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.
$95 - $105 per hour
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