Data Product Manager

Job Title: Data Product Manager

Location:  Hybrid / Onsite at Cincinnati, OH

Employment Type: Contract

Experience: 12+ Years who can work only on w2

Role Overview

We are seeking a highly motivated Data Product Manager to lead the strategy, roadmap, and lifecycle management of enterprise data products supporting Retail Sales, Transaction Processing, and Analytics platforms. This role is ideal for a data-savvy Product Manager with expertise in data platforms, ETL pipelines, enterprise data products, and customer migration initiatives .

The successful candidate will partner with business stakeholders, engineering teams, architects, data analysts, and customer success teams to modernize legacy transaction data products while driving adoption of a next-generation Retail Sales Data Platform. Strong communication, stakeholder management, and product ownership skills are essential.

Key Responsibilities

Product Strategy & Ownership

• Own the product roadmap for enterprise data products supporting Retail Sales and Transaction Processing.
• Define product vision, business objectives, and success metrics aligned with organizational goals.
• Manage the complete lifecycle of data products from discovery through delivery and continuous improvement.
• Prioritize product backlog based on customer needs, business value, and technical feasibility.
• Translate business requirements into detailed product features, user stories, and acceptance criteria.
• Drive product adoption and customer satisfaction through continuous feedback and product enhancements.

Enterprise Data Products

• Manage enterprise data products supporting transaction logs, sales reporting, customer analytics, and operational reporting.
• Oversee the modernization of legacy data products into scalable cloud-based data platforms.
• Ensure enterprise data products meet performance, reliability, scalability, and governance standards.
• Define data quality expectations, business rules, and service-level objectives (SLOs) for data products.
• Collaborate with Data Engineering teams to improve usability, discoverability, and accessibility of enterprise data assets.

ETL & Data Platform Management

• Work closely with Data Engineers to design and prioritize ETL/ELT pipeline enhancements.
• Manage product requirements for enterprise data ingestion, transformation, validation, and publishing processes.
• Understand modern cloud data platforms, Lakehouse architecture, Data Lakes, and enterprise data warehouses.
• Review impacts of schema changes, upstream dependencies, and downstream data consumers.
• Coordinate releases of ETL pipelines and enterprise data products with engineering teams.
• Support migration from legacy transaction processing systems to modern cloud-native platforms.

Legacy Platform Support & Customer Migration

• Drive ongoing support and lifecycle management of legacy transaction log systems and ETL-based data products.
• Partner with customers to define migration strategies from legacy platforms to modern Retail Sales Data Platforms.
• Identify migration risks, dependencies, and data quality considerations.
• Coordinate migration planning, customer onboarding, and change management activities.
• Track migration progress and ensure minimal business disruption during platform transitions.
• Work closely with implementation teams to resolve customer issues during migration.

Stakeholder Management

• Build strong relationships with business stakeholders, engineering teams, customers, and executive leadership.
• Facilitate cross-functional discussions to prioritize product features and resolve competing priorities.
• Communicate product roadmap, release plans, risks, and status updates to stakeholders.
• Act as the primary liaison between Product, Engineering, Data Architecture, Business Operations, and Customer Success teams.
• Gather customer feedback and incorporate insights into future product enhancements.

Agile Product Management

• Own and maintain the product backlog in Jira or Azure DevOps.
• Write detailed Epics, Features, User Stories, and Acceptance Criteria.
• Participate in Sprint Planning, Backlog Grooming, Daily Standups, Sprint Reviews, and Retrospectives.
• Collaborate with Scrum Masters and Engineering Managers to ensure successful product delivery.
• Define KPIs and product success metrics for continuous improvement.

Data Governance & Quality

• Ensure enterprise data products comply with data governance policies and security standards.
• Define business rules, metadata standards, and data lineage requirements.
• Partner with Data Governance teams to improve data quality, consistency, and compliance.
• Support master data management (MDM) and reference data initiatives.

Required Qualifications

• Bachelor's degree in Computer Science, Information Systems, Business, Engineering, or a related field.
• 8+ years of Product Management, Business Analysis, or Data Product Management experience.
• Experience managing enterprise data products and data platform initiatives.
• Strong understanding of ETL/ELT pipelines and data integration concepts.
• Experience working with modern cloud-based data platforms.
• Strong stakeholder management and executive communication skills.
• Experience delivering products using Agile/Scrum methodologies.