KEY RESPONSIBILITIES

Product Strategy & Roadmap

• Define and own the data product vision, strategy, and multi-quarter roadmap aligned with business objectives.

• Identify opportunities to create new data products or enhance existing ones based on stakeholder needs and market trends.

• Prioritize product backlog and features using data-driven frameworks

Stakeholder Management

• Act as the primary liaison between business units (Finance, Marketing, Operations, etc.) and data engineering/analytics teams.

• Facilitate workshops, discovery sessions, and regular reviews to align stakeholders on requirements and progress.

• Communicate product updates, metrics, and outcomes clearly to executive leadership.

Delivery & Execution

• Write clear user stories, acceptance criteria, and data requirements documentation.

• Partner with data engineers, analysts, and architects to deliver reliable, well-documented data pipelines and datasets.

• Drive Agile ceremonies including sprint planning, retrospectives, and backlog grooming.

Data Governance & Quality

• Champion data quality standards, metadata management, and data catalog adoption across the organization.

• Collaborate with data governance teams to ensure compliance with data privacy regulations (GDPR, CCPA).

• Define and monitor key data quality KPIs and SLAs for all owned data products.

REQUIRED QUALIFICATIONS

• 7+ years of experience in product management, data product ownership, or a related role.

• Strong understanding of data concepts: data modeling, data warehousing, ETL/ELT pipelines, and BI tools.

• Proficiency with SQL and experience interpreting complex datasets to drive decisions.

• Demonstrated experience working in Agile/Scrum environments with tools such as Jira, Confluence, or Azure DevOps.

• Excellent communication skills with the ability to convey technical concepts to non-technical audiences.

• Experience with cloud data platforms such as Snowflake, Databricks, Google BigQuery, or AWS Redshift.

• Proven track record of delivering data products at scale that deliver measurable business value.

PREFERRED QUALIFICATIONS

• Experience with data mesh, data lakehouse, or federated data architectures.

• Familiarity with data observability tools such as Monte Carlo, Soda, or Great Expectations.

• Background in machine learning product development or MLOps workflows.

• Certifications such as CSPO, PMP, or relevant cloud certifications (AWS/GCP/Azure).

• Experience in a regulated industry (Financial Services, Healthcare, or Retail).

Requirements