Data Product Manager
Tek Leaders Inc
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.
Vacancy posted 17 days ago
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