Technical Product Manager

Technical Product ManagerLarge Banking Client3x/week onsite in Atlanta, GAW2 contract through EOYPosition Requirements:Technical Product Management background (8+ years of experience)Roadmap ownershipGovernance strategyProduct-focused on Data Governance or Data Platform initiativesHands-on experience with Collibra (or comparable data governance platform)Strong Databricks Unity Catalog experienceCloud experience – AWS, Azure, GCPAdvanced SQL skillsTroubleshooting, data validationExperience with ETL/ELT platforms, such as – Apache Spark, dbt, Azure Data Factory, AWS Glue, Apache AirflowStrong understanding of data governance conceptsMetadata management, data lineage, access controls, data qualityAgile product deliveryUnderstanding of AI/ML concepts applied to governance use casesExcellent communication, leadership, and stakeholder management skillsPosition Responsibilities:Product Strategy & RoadmapOwn the end-to-end roadmap for the enterprise Data Governance PlatformPrioritize features supporting metadata management, lineage, access control, data quality, and policy automationTranslate business needs into product capabilities that deliver measurable valueStakeholder Engagement & CommunicationServe as liaison between business stakeholders, compliance teams, and engineering teamsPresent adoption metrics, platform capabilities, and strategic initiatives to leadershipFacilitate discovery workshops and governance requirement gathering sessionsTechnical Requirements & DeliveryConvert business requirements into epics, user stories, and acceptance criteriaCollaborate with architects and engineers to assess feasibility and solution designSupport delivery through sprint planning, backlog grooming, PRD reviews, and stakeholder alignmentData Governance Platform OperationsOwn intake, prioritization, and execution of governance platform requestsDrive adoption and enhancement of CollibraManage Databricks Unity Catalog governance strategy including tagging, security, and sharing policiesAlign governance strategies across AWS, Azure, and GCP environmentsAI-Driven GovernanceIntegrate AI/ML capabilities including metadata enrichment, automated classification, and lineage detectionEvaluate governance AI platforms such as Azure AI Foundry, Amazon Bedrock, and Databricks AISupport responsible AI and AI governance initiativesSQL, ETL & Pipeline GovernanceAnalyze data quality issues and investigate data pipeline failures using SQLWork with ETL and ELT technologies including Spark, dbt, ADF, Airflow, and related platformsDefine and enforce data contracts, SLAs, and quality controls