Data Product Analyst

Job Role : Data Product Analyst Location - Columbus, Ohio , Wilmington, Delaware Onsite Experience – 8+ years (Banking domain) Contract Opportunity Role Summary – Data Product Analyst The Data Product Analyst owns data as a product across its lifecycle — from source systems through data platforms (Databricks), into AI/ML pipelines, and finally to production and UAT. This role bridges business, data engineering, and AI teams, ensuring data products are well‑defined, governed, high‑quality, and fit for analytics and automation use cases. This is not a BI‑only role and not a data engineer role. It is a product‑oriented data role operating in an AI‑enabled enterprise environment. Core Responsibilities 1. Data Product Ownership & Discovery • Partner with Product Managers to identify and define data product opportunities aligned to customer and business needs • Conduct user discovery, stakeholder interviews, and journey mapping to identify data gaps, pain points, and opportunities • Define product vision, scope, and success metrics for assigned data products 1. Requirements & Agile Delivery • Translate business needs into: • Product requirements • Epics, features, and user stories • Clear acceptance criteria • Own and manage a prioritized data product backlog • Support sprint planning, reviews, and UAT in Agile/Scrum teams 1. Data Platform & AI Enablement • Collaborate with Data Engineering to onboard new data sources from internal systems (e.g., ERP / SCM platforms) • Work with AI/ML teams to: • Define data inputs and features • Validate post‑processing logic and outputs • Ensure data products meet analytics, reporting, and automation requirements 1. Data Quality, Governance & Lifecycle • Define and enforce: • Data quality rules • Validation checks • SLAs across processing and AI layers • Establish and maintain: • Data catalog • Business glossary • Metadata and lineage • Ensure compliance with enterprise governance standards in regulated environments 1. Measurement & Continuous Improvement • Track and analyze product metrics including: • Time • Cost • Quality • Adoption and usage • Drive continuous improvement through stakeholder feedback and usage insights Must‑Have Skills (Non‑Negotiable) Product & Analysis Skills • 3+ years experience in Data Product Analyst, Product Analyst, or Product‑centric Data roles • Strong understanding of the product development lifecycle • Proven ability to translate business needs into epics, features, and user stories • Experience working in Agile / Scrum environments Data & Platform Skills • Strong SQL proficiency for: • Data validation • Testing • Ad‑hoc analysis • Hands‑on understanding of: • Data pipelines • Large‑scale datasets • Working knowledge of modern data platforms: • Databricks • Snowflake • Cloud data ecosystems Governance & Compliance Skills • Experience with: • Data onboarding • Metadata management • Data cataloging and lineage • Familiarity with control‑heavy / regulated environments • Understanding of entitlements, data quality tooling, and governance workflows Nice‑to‑Have Skills (Differentiators) • Exposure to AI/ML‑enabled data products • Experience validating AI outputs from a business and data perspective • Domain experience in enterprise operations, HR/Talent, or financial services • Experience working with enterprise ERP or operational datasets • Python programming knowledge experience What Success Looks Like in This Role • High‑quality, trusted data flowing into AI/ML pipelines • Reduced defects during AI validation and UAT • Faster production rollout of data‑driven and AI‑enabled features • Strong alignment between business intent, data, and AI outcomes