What are the responsibilities and job description for the Data Product Manager position at Themesoft Inc.?
Position: Data Product Manager/ Data Product Analyst
Location: Wilmington, DE
Job Description:
The Data Product Analyst/ Data Product Manager 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.
Product & Analysis Skills
- 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
- 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
Core Responsibilities
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
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
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
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
Measurement & Continuous Improvement
- Track and analyze product metrics including:
- Time
- Cost
- Quality
- Adoption and usage
- Drive continuous improvement through stakeholder feedback and usage insights
Work Authorization
Applicants must be legally authorized to work in the United States.
Equal Employment Opportunity
Themesoft Inc is an Equal Employment Opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by applicable federal, state, or local law.
Regards
Patrick Fernandez
Talent Acquisition Group - Strategic Recruitment Manager