Lead Technical Program Manager - AIML- Databricks

Lead Technical Program ManagerElevate your career by steering multi-faceted technology programs, integrating innovative solutions, and driving impact across global operations.The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the firm's data, as well as leveraging it to generate insights and drive decision-making. The Chief Data & Analytics office (CDAO) also develops and implements solutions that support the firm's commercial goals by responsibly harnessing artificial intelligence and machine learning to develop new products, improve productivity, and enhance risk management.As a Lead Technical Program Manager at JPMorgan Chase within Corporate AIML Data Platforms & Chief Data & Analytics (CDAO), you will lead complex, cross-functional technology programs that impact experiences across the firm, including clients, employees, and stakeholders. You will use strong analytical reasoning and adaptability to break down business, technical, and operational objectives into manageable workstreams, navigate ambiguity, and drive change. With demonstrated technical fluency, you will manage resources, budgets, and cross-functional teams to deliver innovative solutions aligned to strategic goals. Your exceptional communication and influencing skills will foster productive stakeholder relationships, ensuring alignment and effective risk management. In this pivotal role, you will also contribute to new policies and processes that shape the future of our technology landscape.Job ResponsibilitiesCreates and maintains detailed project plans, timelines, and delivery schedules for assigned programsManages day-to-day program execution using JIRA, Confluence, and other project management tools, ensuring accurate tracking of user stories, epics, and sprint progressFacilitates agile ceremonies, including sprint planning, daily standups, retrospectives, and backlog grooming, with engineering teamsMaintains comprehensive program documentation, including status reports, risk registers, RAID logs, and dependency matricesOversees engineering risks, issues, and dependencies across assigned programsEngages stakeholders, including customers and partners across Lines of Business (LOBs)Guides the selection and implementation of appropriate technologies, platforms, and software tools, leveraging technical fluencyChampions continuous improvement by identifying process optimization opportunities, incorporating best practices, and staying abreast of emerging technologiesPartners with Product teams to drive business outcomes, ensuring technical programs align with strategic goalsPrepares and delivers regular status updates and presentations to stakeholders and leadership, communicating progress, risks, and blockersRequired Qualifications, Capabilities, and Skills5+ years of experience (or equivalent expertise) in technical program management, leading complex technology initiatives in large organizationsHands-on experience with agile delivery tools (JIRA, Confluence) and planning tools (e.g., MS Project), with proven ability to maintain accurate program artifacts and metricsDemonstrated proficiency in technical solutioning, vendor product evaluation, vendor management, and solution implementationStrong analytical reasoning skills, applying critical thinking and problem-solving techniques to break down business, technical, and operational objectivesProven ability to lead through change, manage dependencies, and control scope in high-pressure, shifting environmentsStrong stakeholder management skills, building productive relationships and driving outcomes aligned with firm objectivesUnderstanding of data platform trade-offs, including performance optimization, cost management, scalability, and operational excellenceDeep technical understanding of modern data platform architectures, including data lakes, data warehouses, Lakehouse architectures, and distributed computing frameworksExperience with enterprise-scale implementations of cloud-native data platforms such as Databricks and SnowflakeGood understanding of AWS data analytics services, including Redshift, EMR, Glue, Athena, Kinesis, Lake Formation, MSK, and S3 data lake patterns, with demonstrated experience architecting end-to-end data solutionsExperience navigating complex data governance, security, and compliance requirements across multi-cloud and hybrid data environments at enterprise scale