Data Product Manager

This is a fully remote position, open to applicants in United States.

📋 Description

• Define and take ownership of the vision, roadmap, and lifecycle for data products, including data marts, feature stores, reporting layers, ML outputs, and self-service analytics.

• Convert business objectives into product requirements, user stories, and acceptance criteria.

• Prioritize the product backlog based on business impact, feasibility, and timelines.

• Establish and track KPIs related to data quality, adoption, business outcomes, and SLA compliance.

• Collaborate with senior stakeholders across commercial, supply chain, finance, and operations departments.

• Facilitate discovery sessions, workshops, and prioritize use cases.

• Ensure alignment between business, delivery, and technical teams.

• Serve as the point of escalation for decisions regarding scope and trade-offs.

• Communicate product updates effectively to both technical and non-technical audiences.

• Coordinate product roadmaps with delivery plans in conjunction with engineering and delivery leadership.

• Create user stories, functional specifications, and data contracts.

• Participate in agile ceremonies, representing the voice of the business.

• Lead User Acceptance Testing (UAT) and data validation processes.

• Manage changes in scope and evolving requirements.

• Identify high-value CPG and retail use cases in areas such as commercial analytics, demand planning, trade promotion, category management, and supply chain visibility.

• Assist clients in transforming raw data into governed data products.

• Promote adoption through initiatives focused on data literacy and change management.

• Contribute to pre-sales efforts with frameworks for use cases and ROI-driven narratives.

• Establish standards for ownership, lineage, SLAs, access, and documentation.

• Ensure the scalability, governance, and monitoring of data products.

• Support data stewardship models and policies for self-service.

• Integrate data quality controls throughout the product lifecycle.

⛳️ Requirements

• Over 5 years of experience in product management, business analysis, or data consulting.

• More than 2 years of experience with data/analytics products.

• Proven experience in defining data pipelines, BI/analytics, or ML-driven solutions in client-facing roles.

• Strong understanding of modern data stacks, including data warehousing, modeling, APIs, and reporting layers.

• Demonstrated ability to align business and technical stakeholders.

• Experience in agile environments with ownership of the backlog.

• Background in the CPG or retail domain.

• Excellent communication skills, capable of producing materials suitable for executive-level audiences.

• Bachelor's degree in a relevant field.

• Practical experience with tools like Snowflake, Databricks, or BigQuery (preferred).

• Basic SQL proficiency (preferred).

• Familiarity with BI tools such as Tableau, Power BI, Looker, or ThoughtSpot (preferred).

• Knowledge of data governance and metadata management tools (preferred).

• Exposure to ML product workflows and lifecycle management (preferred).

🏝️ Benefits

• Competitive compensation and benefits package.

• Significant career development opportunities.

• A diverse and inclusive culture.

• Emphasis on collaboration, continuous learning, and personal growth.