Principal Technical Program Manager AIML Data Platform
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Job Summary
Elevate your career by steering multi-faceted tech programs integrating innovative solutions for a dynamic impact across global operations.
As a Principal Technical Program Manager in AI/ML Data Platforms you will lead complex multi-functional programmes focused on the AI/ML Data Platform. You will take end-to-end responsibility for release and delivery management cross-team coordination and environment/platform enablement across multiple engineering data and product teams. Leveraging advanced analytical reasoning and strong technical fluency you will break down business technical and operational objectives into executable plans mitigate risk and drive change through ambiguity. This role operates through influence and programme governance ensuring that data-driven and AI/ML products are delivered reliably securely and at enterprise-grade quality via scalable automated and repeatable delivery pipelines.
Job responsibilities
- Lead and coordinate releases across multiple engineering data and product teams; establish scalable repeatable release management processes.
- Drive alignment across teams to ensure timely predictable and high-quality delivery; manage dependencies timelines and risks.
- Own delivery planning and operational governance; maintain clear stakeholder communications for complex multi-team initiatives.
- Act as the central point of coordination across application development data engineering product infrastructure and platform teams.
- Facilitate cross-team collaboration to remove blockers streamline end-to-end delivery workflows and define decision-making procedures for beneficial outcomes.
- Oversee environment provisioning new environment builds and lifecycle management (pilot env) for data/AI/ML platform workloads.
- Partner with Infrastructure and DevOps teams to ensure environment stability availability security and scalability; champion environment governance and configuration management.
- Guide the selection and implementation of appropriate technologies platforms and software tools; leverage vendor product knowledge and coordinate vendor relationships.
- Influence architecture platform design development practices and product roadmaps to align with firm strategic goals.
- Drive process optimisation and automation across testing CI/CD environment provisioning and delivery workflows to improve efficiency speed and product quality.
Required qualifications capabilities and skills
- Experience (or equivalent expertise) in technical program management leading complex technology programmes in large enterprises.
- Proven track record managing multi-team release cycles and delivery pipelines; strong proficiency in dependency management risk management and programme governance.
- Hands-on or oversight experience with environment build management: provisioning configuration lifecycle management; Infrastructure-as-Code preferred.
- Strong cross-functional leadership and communication skills; demonstrated ability to influence senior stakeholders across product data infrastructure and business functions.
- Advanced analytical reasoning and problem-solving skills to break down business technical and operational objectives into executable plans.
- Experience coordinating across application development product management infrastructure and DevOps; ability to lead through change in high-pressure shifting environments.
- Familiarity with data engineering and AI/ML platforms: data pipelines model development and deployment processes data quality platform orchestration and data governance.
- Proficiency with enterprise product/project management tools (e.g. Jira Azure DevOps Confluence) for planning roadmapping tracking and reporting; use of specific third-party tools must align with firm-approved solutions.
Preferred qualifications capabilities and skills
- Experience in financial services or other regulated industries including compliance security and data privacy considerations.
- Knowledge of modern data architectures: data lakes data warehouses streaming and batch pipelines; familiarity with big data tools such as Spark Kafka and Airflow.
- Experience with MLOps model governance data governance test data management and environment orchestration for data/ML workloads.
- Prior experience building or overseeing AI/ML data platforms or large-scale data infrastructure emphasising reliability scalability and performance.
- Comfort operating in a fast-paced evolving technical landscape with a track record of driving innovation and continuous improvement.
Required Experience:
Manager
Key Skills
- Project Management Methodology
- Project / Program Management
- Program Management
- Management Experience
- Microsoft Powerpoint
- Project Management
- Microsoft Project
- Budgeting
- DoD Experience
- Leadership Experience
- Supervising Experience
- Contracts
About Company
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans ov ... View more
