Data & Analytics Product Lead

Responsibilities: Shape standards for governed semantic models and reusable data assets Guide transformation logic and architecture to meet reporting needs Advance ETL reliability, scalability, and maintainability Serve as business product owner for the data engineering squad Translate analytical needs into specifications, acceptance criteria, and test plans Coordinate solution design, validation, and releases with engineers and architects Coordinate priority data sources across data owners, vendors, and SMEs Establish standards for data quality, lineage, metadata, issue management, and shared KPIs Document source mappings, transformations, dependencies, controls, model definitions, and ownership Set standards for certified datasets, workspaces, access, and governed self-service use Drive adoption through reusable tools, guidance, training, and support Assess automation, AI, and controlled end-user capabilities aligned with business priorities

Key requirements: 3–5 years of experience in BI, data management, data engineering, or related field Proficiency in SQL, data transformation or pipeline tools, and relational/dimensional/semantic modeling Ability to translate business priorities into clear technical requirements and practical delivery plans Demonstrated ability to influence stakeholders and lead cross-functional work without formal authority Strong judgment, communication, documentation, and attention to detail ability to manage competing priorities influence and stakeholder management clear communication and documentation attention to detail SQL data transformation or pipeline tools relational, dimensional, or semantic modeling