Technical Product Manager

About the Role

Lead a firmwide legacy analytics decommission and migration to modern cloud-native analytics tools. This role focuses on retiring legacy reporting capabilities while enabling scalable, modern analytics, and involves end-to-end delivery from inventory analysis to cross-functional execution.

Key Responsibilities

• Own and continuously improve a comprehensive inventory of reports, schedules, and data extract processes, driving rationalization and recertification.
• Map report logic and data flows to business processes, application integrations, and downstream dependencies, prioritizing migration waves.
• Lead stakeholder engagement across business and technology functions to document current usage, capture requirements, and define future-state reporting needs.
• Define functional and non-functional requirements for replacement reporting capabilities.
• Drive evaluation and selection of replacement tools by coordinating structured demos, proof-of-concept activities, and decision forums.
• Oversee migration planning and execution across data warehouse, data pipelines (extract, transform, load), and reporting layers.
• Leverage analytics and approved automation approaches to accelerate usage analysis, pattern detection, and migration prioritization.
• Produce clear program governance artifacts (status reporting, risks/issues/dependencies, milestone tracking, and escalation materials) for senior leadership.
• Coordinate cross-functional delivery across a global team, proactively surfacing blockers and managing priorities.
• Deliver change management activities including user communications, training coordination, adoption tracking, and transition support.

Requirements & Tech Stack

• Proven experience as a technical product manager or senior business analyst delivering large-scale technology decommission, data migration, or reporting transformation programs in financial services.
• Demonstrated knowledge of enterprise reporting landscapes, including report lifecycle management, self-service reporting, automated scheduling/distribution, embedded analytics, and integration with data pipelines.
• Hands-on experience with at least one enterprise reporting or analytics platform (e.g., Tableau, ThoughtSpot, Microsoft Power BI, MicroStrategy, Sigma, Cognos, SAP BusinessObjects, or similar).
• Experience analyzing, rationalizing, and migrating large report inventories.
• Working knowledge of data warehousing concepts (e.g., dimensional modeling, facts and dimensions, and data marts).
• Working knowledge of data integration patterns and pipeline scheduling.
• Proficiency in Structured Query Language (SQL), including complex joins and reconciliations.
• Strong stakeholder management skills.
• Program governance capability, including structured planning, milestone management, dependency management, and executive-ready communications.
• Awareness of regulated, controlled, or audit-relevant reporting considerations.

Preferred Qualifications

• Hands-on experience with SAP BusinessObjects and/or Crystal Reports.
• Experience building dashboards or reports in modern analytics tools.
• Experience using analytics automation or artificial intelligence-enabled tools (e.g., Databricks Genie, Snowflake Cortex, ChatGPT/Copilot).
• Experience with cloud-native data platforms (e.g., Snowflake, Databricks, or Google BigQuery).
• Experience with SQL performance tuning, data profiling, anomaly detection, and end-to-end data quality validation.
• Experience coordinating user acceptance testing and supporting structured change management.
• Experience engaging vendors and running structured evaluations, proofs of concept, or request-for-information/request-for-proposal processes.