Title: Data Product Analyst Location: Wilmington DE (Onsite) Duration: 6 months
Job description: 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. 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
2. 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
3. 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
4. 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
5. Measurement & Continuous Improvement
Track and analyze product metrics including:
Time
Cost
Quality
Adoption and usage
Drive continuous improvement through stakeholder feedback and usage insights
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
Applicant Notices & Disclaimers
For information on benefits, equal opportunity employment, and location-specific applicant notices, click here
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws.The pay rate for this position is $50.00/hr.
