Product Business Analyst, Commercial Data Science (CDS) - Temporary Position
Description
Temporary Position Summary IEEE is seeking a highly motivated Product Business Analyst to support the product portfolio within the Commercial Data Science (CDS) team. This role serves as a dedicated partner to the Analytics Product Manager, acting as a bridge between high-level business strategy and day-to-day technical execution.
This is an excellent opportunity for an analytical, detail-oriented professional who wants to work hands-on with complex data platforms, machine learning integrations, and external data partnerships. The ideal candidate has strong experience with customer-facing, external products and has successfully navigated Proof of Concepts and real product go-lives.
This position which reports to the Lead Director and has a dotted line to the Analytics Product Manager, collaborates closely with internal data scientists, ML engineers, front-end developers, marketing teams, and external vendors.
Key Responsibilities
Technical Requirements & Backlog Management
● Serve as the subject matter expert on all assigned products and their functionalities to drive tactical product execution.
● Gather requirements and create appropriate functional and business artifacts, including Business Requirement Documents (BRDs), user stories, user flows, and meeting notes.
● Partner with the Product Manager to groom and maintain the product backlog in Jira, understanding the technical nuances behind business requirements.
● Document complex data flows, business rules, and technical prerequisites for AI integrations and external data platforms.
Bug Triage & Quality Assurance
● Act as the first line of defense for product issues and bug triaging across the CDS portfolio.
● Investigate user-reported issues, reproduce errors, and perform root-cause analysis on data anomalies before routing actionable tickets to the appropriate engineering or ML data teams.
● Create business test cases and support user acceptance testing (UAT) during QA functional testing to clear blockers and ensure high-quality deployments.
Competitive Research & Stakeholder Communication
● Translate complex backend technical concepts (Machine Learning, Gen AI, Simulation models) into clear, customer-centric value propositions for stakeholders.
● Conduct ongoing competitive research on emerging AI solutions, STEM data platforms, and industry trends to ensure developing products provide differentiated value to the market.
● Provide regular, structured, technical updates to cross-departmental business stakeholders (marketing, sales, leadership) to improve transparency and decision-making.
● Work closely alongside the Product Manager to share daily responsibilities, track project task dependencies, and ensure external vendor deliverables remain on schedule.