Senior Data Product Manager - Data Strategy for CPG

Matrix-International Financial Services; Miami, Northern (FL, KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Matrix-International Financial Services seeks a Data Product Manager to own the strategy, prioritization, and lifecycle of data products for CPG and retail clients. Embedded with client teams, you translate business needs into scalable data solutions and drive adoption from concept through delivery.

You will define the product vision and roadmap for data marts, feature stores, reporting layers, ML outputs, and self-service analytics, coordinating with senior stakeholders across commercial,

Qualifications

• 5+ years in product management, business analysis, or data consulting with data/analytics products.
• Experience defining data pipelines, BI/analytics, or ML-driven solutions in client-facing environments.
• Strong knowledge of modern data stacks and governance practices.

Responsibilities

• Define and own the vision, roadmap, and lifecycle of data products.
• Translate business objectives into clear product requirements and acceptance criteria.
• Prioritize backlog based on impact, feasibility, and timelines.
• Lead discovery sessions and manage stakeholder alignment.
• Collaborate with engineering and delivery leadership in agile ceremonies.
• Own data governance, quality, and data contracts across data products.

Skills

Stakeholder management

Executive communication

Agile methodology

Data product strategy

CPG/retail domain knowledge

Education

Bachelor's degree in a relevant field

Tools

Snowflake

Databricks

SQL

BI tools

Job description

Matrix-International Financial Services seeks a Data Product Manager to own the strategy, prioritization, and lifecycle of data products for CPG and retail clients. Embedded with client teams, you translate business needs into scalable data solutions and drive adoption from concept through delivery.

You will define the product vision and roadmap for data marts, feature stores, reporting layers, ML outputs, and self-service analytics, coordinating with senior stakeholders across commercial,