Data Analytics with Product Management

At least 10+ years of experience in product management, data platform delivery, analytics delivery, data engineering, enterprise technology delivery, or related roles.

Experience managing product backlogs, roadmaps, epics, features, user stories, acceptance criteria, prioritization routines, and stakeholder engagement for data or technology platforms.

Experience working with enterprise data platforms, cloud data ecosystems, lakehouse or warehouse environments, data pipelines, data quality, governance, metadata, lineage, semantic layers, BI platforms, or MDM capabilities.

Experience with modern data and analytics technologies such as Databricks, Azure, Power BI, MicroStrategy, Snowflake, SQL, Python, Spark, orchestration tools, catalog or governance platforms, and data quality tooling preferred

Experience supporting agile delivery teams in a scrum master, delivery lead, product owner, or product manager capacity.

Skills Required:

Strong product management mind-set with ability to define value, prioritize demand, sequence delivery, manage trade-offs, and communicate roadmap decisions clearly.

Working knowledge of SQL, data pipelines, ETL / ELT, analytics consumption patterns, dash boarding, data validation, platform observability, and cloud platform concepts.

Strong understanding of modern data platforms, analytics platforms, semantic modeling, data quality, governance, MDM, metadata, lineage, access controls, and cloud data architecture concepts.

Ability to translate complex technical needs into business-oriented product outcomes, delivery increments, acceptance criteria, and executive-ready updates.

Strong agile delivery facilitation skills, including backlog refinement, sprint planning, dependency management, impediment removal, release coordination, and retrospective-driven improvement.