Data Product Analyst

Quantum Technologies. LLC; Wilmington (DE); On-site; USD 120,000 - 170,000; Full time

Job summary

Quantum Technologies. LLC seeks an experienced Data Product Analyst/Manager to own data products from source systems and data platforms (Databricks, Snowflake) through AI/ML pipelines, production, and UAT.

You will collaborate with business stakeholders, product teams, data engineers, and AI teams to define requirements, ensure data quality, governance, and deliver scalable data solutions. Responsibilities include defining vision and backlog, eliciting requirements, translating to epics and

Qualifications

• 3+ years of experience as a Data Product Analyst, Product Analyst, or Data Product Manager.
• Strong SQL skills for data validation, testing, and analysis.
• Hands-on experience with Databricks, Snowflake, and cloud data platforms.
• Strong understanding of data pipelines, data integration, and large-scale datasets.
• Experience creating epics, features, user stories, and acceptance criteria.
• Strong knowledge of Agile/Scrum methodologies.
• Understanding of data governance, metadata management, data cataloging, lineage, and data quality.
• Experience working in regulated or control-heavy enterprise environments.
• Knowledge of data entitlements, access controls, and governance workflows.
• Experience with AI/ML-enabled data products and AI/ML output validation.
• Basic to intermediate Python programming knowledge.
• Experience working with ERP and operational data.

Responsibilities

• Define and manage data product vision, scope, roadmap, and product backlog.
• Conduct stakeholder interviews, business analysis, and user discovery sessions.
• Translate business requirements into product requirements, epics, features, user stories, and acceptance criteria.
• Collaborate with Data Engineering teams to identify, onboard, and integrate data sources.
• Partner with AI/ML teams to define data inputs, features, and validate model outputs.
• Define data quality rules, validation checks, data standards, and Service Level Agreements (SLAs).
• Maintain data catalogs, business glossaries, metadata, and data lineage.
• Support Agile ceremonies, sprint planning, sprint reviews, and User Acceptance Testing (UAT).
• Monitor product performance, quality, cost, delivery timelines, adoption, and usage.
• Ensure data governance, access controls, and compliance requirements are followed.
• Drive continuous product improvement based on stakeholder feedback and business insights.
• Coordinate with cross-functional teams to ensure successful product delivery.

Skills

SQL

Databricks

Snowflake

Python

Agile/Scrum

data governance

data cataloging

data quality

ERP data

AI/ML data products

Tools

Databricks

Snowflake

Cloud data platforms

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization:US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description:

We are seeking an experienced Data Product Analyst / Data Product Manager to manage data products throughout their lifecycle, from source systems and data platforms such as Databricks to AI/ML pipelines, production, and User Acceptance Testing (UAT).The ideal candidate will work closely with business stakeholders, product teams, data engineers, and AI/ML teams to define data product requirements, ensure data quality, maintain governance standards, and deliver business value through scalable data solutions.

• Define and manage data product vision, scope, roadmap, and product backlog.
• Conduct stakeholder interviews, business analysis, and user discovery sessions.
• Translate business requirements into product requirements, epics, features, user stories, and acceptance criteria.
• Collaborate with Data Engineering teams to identify, onboard, and integrate data sources.
• Partner with AI/ML teams to define data inputs, features, and validate model outputs.
• Define data quality rules, validation checks, data standards, and Service Level Agreements (SLAs).
• Maintain data catalogs, business glossaries, metadata, and data lineage.
• Support Agile ceremonies, sprint planning, sprint reviews, and User Acceptance Testing (UAT).
• Monitor product performance, quality, cost, delivery timelines, adoption, and usage.
• Ensure data governance, access controls, and compliance requirements are followed.
• Drive continuous product improvement based on stakeholder feedback and business insights.
• Coordinate with cross-functional teams to ensure successful product delivery.

Required Technical Skills:

• 3+ years of experience as a Data Product Analyst, Product Analyst, or Data Product Manager.
• Strong SQL skills for data validation, testing, and analysis.
• Hands-on experience with Databricks, Snowflake, and cloud data platforms.
• Strong understanding of data pipelines, data integration, and large-scale datasets.
• Experience creating epics, features, user stories, and acceptance criteria.
• Strong knowledge of Agile/Scrum methodologies.
• Understanding of data governance, metadata management, data cataloging, lineage, and data quality.
• Experience working in regulated or control-heavy enterprise environments.
• Knowledge of data entitlements, access controls, and governance workflows.
• Experience with AI/ML-enabled data products and AI/ML output validation.
• Basic to intermediate Python programming knowledge.
• Experience working with ERP and operational data.

Preferred Qualifications:

• Experience in Financial Services, HR/Talent, or Enterprise Operations domains.
• Experience managing enterprise data products across multiple business functions.
• Understanding of AI/ML workflows, data science, and machine learning concepts.
• Strong stakeholder management, communication, analytical, and problem-solving skills.
• Ability to translate complex business requirements into actionable technical solutions.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.