Data & AI Lead Product Manager

You are a strategic future-focused data and artificial intelligence leader who is passionate about re-imagining Operations through scalable trusted and intelligent platforms. You have found the right team.

As a Data and Artificial Intelligence Lead within the Unity Product team in Markets Operations Transformation you will help shape and deliver the data analytics and intelligence foundation for Unity JPMorganChases artificial intelligence-first Operations platform for Corporate and Investment Bank Operations.

You will lead the design of trusted operational data models intelligent automation capabilities and executive insights that allow the firm to measure automation strengthen controls reduce operational risk and identify the next set of opportunities at scale. You will combine hands-on data leadership applied artificial intelligence delivery and product thinking to build capabilities that are reliable auditable and ready for the future of agent-led workflows.

Job Responsibilities

• Define and deliver Unitys operational data architecture including event-level lineage transition-level data capture and end-to-end process journey modeling
• Establish data models keys relationships and controls across complex operational workflows where multiple inputs may lead to a single outcome
• Own cloud-based data platform design including retention strategy reproducible backfills large-scale query performance and cost-aware architecture
• Lead the strategy and delivery of classification enrichment routing and intelligent automation models that improve operational outcomes
• Build feedback loops that compare artificial intelligence outputs with final human-approved outcomes to improve accuracy quality and value realization
• Shape the roadmap from assistive intelligence to governed autonomous workflows including confidence scoring drift detection escalation handling and risk controls
• Define trusted metric frameworks for automation resolution time service levels escalation and operational performance across business lines
• Deliver insight capabilities that turn operational data into foresight helping identify future automation risk workload and efficiency opportunities
• Enable self-service analytics for business users through scalable semantic layers business intelligence tools and reusable data products
• Champion data governance lineage quality auditability and explainability across all data and artificial intelligence-driven decisions
• Partner with product teams operations leaders technology risk and control stakeholders to deliver scalable and trusted capabilities across the firm

Required Qualifications Capabilities and Skills

• 10 years of experience in data engineering data architecture applied artificial intelligence or machine learning
• 3 years of experience leading data analytics artificial intelligence or machine learning teams platforms or large-scale initiatives
• Hands-on experience with modern cloud data platforms Amazon Web Services including Athena Glue Iceberg and S3 or equivalent technologies
• Strong expertise in large-scale structured query language event-based data streaming concepts dimensional modeling and operational data design
• Proven experience delivering production-grade artificial intelligence or machine learning models including classification natural language processing monitoring and retraining
• Experience defining metric frameworks data products and insight layers from ambiguous business requirements
• Strong understanding of data governance lineage quality controls and audit requirements in a regulated environment
• Ability to design for enterprise scale cost efficiency reliability and long-term platform reuse
• Experience working with senior stakeholders across operations product technology risk and control functions
• Excellent communication skills with the ability to translate complex data and intelligence concepts into clear business outcomes
• Strong product mindset with the ability to build reusable modular capabilities rather than one-off solutions

Preferred Qualifications Capabilities and Skills

• Experience in financial services capital markets markets operations workflow platforms case management or exception management
• Experience designing human-in-the-loop artificial intelligence systems and governed autonomous or agent-led workflows
• Familiarity with business intelligence semantic layers and self-service analytics tools such as Qlik Sense or equivalent platforms
• Experience building feedback loops that measurably improve model quality automation performance and operational outcomes over time
• Exposure to large language model applications generative artificial intelligence or multi-agent architectures in enterprise environments
• Demonstrated ability to design predictive insights for workload risk breach escalation or operational trend detection
• Experience building trusted data foundations for executive reporting auditability and cross-business performance measurement