Job description

Job Responsibilities - Conduct a holistic assessment of the current data ecosystem, including infrastructure, data pipelines, governance practices, analytics platforms, and delivery processes. - Lead architecture and data pipeline reviews, ensuring scalability, reliability, and efficiency. - Evaluate and recommend improvements for monitoring and observability practices across data systems. - Analyze existing data product strategies, ownership models, and stewardship frameworks. - Assess governance and metadata management processes, identifying gaps and optimization opportunities. - Review the analytics tooling landscape, aligning tools and platforms to business objectives and team workflows. - Evaluate companies readiness for AI-driven analytics and agentic Business Intelligence (BI) capabilities. - Collaborate with stakeholders across engineering, data, governance, and business units to gather insights and align modernization goals. - Deliver a comprehensive assessment report with clear, actionable recommendations across each of the evaluated pillars. - Translate findings into strategic and operational roadmaps, providing implementation guidance and prioritization frameworks. Basic Qualifications - 5 years of proven experience as a Technical Product Manager or equivalent role in data modernization, digital transformation, or enterprise data strategy projects. - Deep understanding of modern data architectures, cloud data platforms (e.g., Azure, AWS, GCP), and data engineering principles. - Experience in data governance, metadata management, and data product lifecycle. - Familiarity with observability and monitoring frameworks (e.g., Datadog, Prometheus, OpenTelemetry). - Exposure to analytics tools (Power BI, Tableau, Looker) and modern AI/BI capabilities. - Exceptional stakeholder management and communication skills, with the ability to distill technical insights into executive-level narratives. - Strong analytical and strategic thinking, with a track record of turning complex assessments into actionable outcomes. Preferred Qualifications - Experience working with enterprise clients in regulated industries. - Knowledge of agentic AI systems or LLM-powered analytics platforms.

Requirements