Senior Technical Product Manager, Data Engineering & Data Science Solutions

Grade Level (for internal use): 11

About the Team

We are a global but tight-knit team driven by collaboration and enablement, focused on building scalable, enterprise-grade platforms, services, and common capabilities that drive wins across our entire division. Our team values collaboration, end-user empathy, hard work, and honesty—creating an environment where innovative solutions can flourish and make a meaningful impact at scale.

Responsibilities

• Drive product strategy and roadmap for critical data infrastructure components, including data onboarding, storage solutions, and core platform engines
• Lead cross-functional teams to deliver data engineering capabilities, admin utilities, and data quality solutions that enable enterprise-scale analytics
• Own product vision for disaster recovery and resiliency frameworks to ensure platform reliability and business continuity
• Define and execute an ontology integration strategy to enhance knowledge management excellence and semantic data capabilities
• Collaborate with engineering teams to implement MLOps practices for machine learning operations and model lifecycle management
• Develop and maintain an innersource ecosystem strategy to enable cross-team collaboration on core platform capabilities within defined governance guardrails
• Partner with stakeholders to define requirements for common data pipeline capabilities and shared tooling that data engineering teams utilize when building enterprise data workflows
• Champion data quality initiatives and drive technical implementation of data quality tools and monitoring solutions that ensure accuracy and consistency across all data processing workflows

Requirements

• 8+ years of product management experience focused on data platforms, analytics infrastructure, or enterprise data solutions
• Hands-on experience with advanced Databricks features, including Delta Lake, MLflow, and Databricks SQL for end-to-end data and ML pipeline management
• Strong technical background with hands-on experience in data engineering technologies such as Apache Spark, Kafka, Airflow, or similar distributed processing frameworks
• Proven experience with cloud data platforms, including AWS, Azure, or Google Cloud Platform
• Understanding of Machine Learning Operations (MLOps) processes, including model deployment, monitoring, and lifecycle management
• Strong knowledge of standard Software Development Life Cycle (SDLC) methodologies, including Agile, Scrum, and DevOps practices
• Demonstrated ability to translate business requirements into technical product specifications while working closely with cross-functional engineering teams
• Bachelor’s degree in Computer Science, Engineering, Data Science, or related technical field, or equivalent professional experience

Preferred Qualifications

• Advanced degree (MBA, MS in Computer Science, Data Science, or related field)
• Experience with data governance frameworks and regulatory compliance requirements in enterprise environments
• Background in financial services, fintech, or other regulated industries with a strong understanding of data privacy and security requirements
• Experience leading cross-functional teams and managing vendor or partner relationships within complex technical ecosystems

Pay

Anticipated base salary range for this position is $100,000 to $149,000. Final base salary for this role will be based on the individual’s geographic location, as well as experience level, skill set, training, licenses, and certifications. This role is eligible for an annual incentive plan.

Benefits

• Health & Wellness: Health care coverage designed for the mind and body
• Flexible Downtime: Generous time off to help keep you energized
• Continuous Learning: Access to resources to grow your career, including a continuing education program with a company-matched student loan contribution
• Invest in Your Future: Competitive pay, retirement planning, and financial wellness programs
• Family Friendly Perks: Best-in-class benefits for families, including partners and dependents
• Beyond the Basics: Retail discounts, referral incentive awards, and other small perks

For more information on benefits by country, visit S&P Global Benefits.