Let's begin! Assc Dir-Product Manager

Skills and Competencies

• Proven experience in technical product management or data engineering for dataintensive B2B platforms
• Strong understanding of agile delivery methodologies backlog management and iterative development
• Deep familiarity with modern data platforms and architectures including data warehousing streaming and analytics environments
• Ability to collaborate effectively with data engineers to evaluate architectural tradeoffs across scalability cost performance and AI readiness
• Handson proficiency with SQL for data analysis validation and troubleshooting
• Experience defining embedding and operationalizing data quality controls lineage and governance standards
• Working knowledge of how data is consumed by analytics machine learning and AIdriven products
• Strong analytical and problemsolving skills with high attention to detail
• Resultsoriented mindset with the ability to drive delivery in complex matrixed environments
• Excellent communication skills able to translate complex technical concepts for both technical and nontechnical stakeholders
• Demonstrated initiative curiosity and commitment to continuous improvement and scalable ways of working

Education

• Bachelors degree required; advanced degree such as an MBA or Masters degree is a plus

Responsibilities

This role owns the delivery and evolution of a core data platform leading a data engineering squad to rapidly and reliably bring highquality wellgoverned data products to market.

• Own a data engineering squad with accountability for roadmap planning execution and delivery
• Drive effective delivery by accelerating decisionmaking removing blockers and keeping the team focused on the highestvalue outcomes for customers and the business
• Partner with Data Platform Product Owners Data Governance Quality Assurance Data Engineering and internal Product Development teams to deliver new data sets
• Collaborate closely with engineers to understand solution complexity and select implementation approaches that balance speed scalability cost and AI readiness
• Lead agile ceremonies including sprint planning backlog refinement reviews and retrospectives to ensure consistent highquality execution
• Facilitate alignment across data and product development squads to manage dependencies and support sound decisionmaking
• Own and prioritize a backlog of user stories defects refactors infrastructure initiatives and production support based on business value reuse risk reduction and AI enablement
• Apply AI and Generative AI tools to accelerate requirements creation summarize stakeholder input and support prioritization and impact analysis
• Identify opportunities to automate and augment data delivery workflows including data quality validation documentation metadata management and operational reporting
• Coordinate release readiness and deployments with Release Management Operations Data Quality and Data Governance partners
• Build strong relationships with data strategy and business stakeholders to drive adoption and evolution of data assets
• Embed data quality lineage and governance standards into backlog items and acceptance criteria with particular focus on AI and modeldriven use cases
• Proactively identify and mitigate delivery quality privacy and operational risks across the data lifecycle

About the Team

The Data Product Management Team is a dynamic analytical group within Moodys Analytics that combines deep curiosity about data with a strong focus on delivering measurable value. The team partners closely with engineering governance and product stakeholders to ensure that core data platforms are reliable scalable and ready to support advanced analytics and AIdriven solutions.