Principal Technical Program Manager Model & Analytics Platform

What you'll do

• Create program plans and roadmaps; manage delivery scope, timelines, dependencies, resources, budgets, risks, and backlogs across workstreams.
• Coordinate engineering, infrastructure, architecture, operations, security, and risk/compliance partners; provide governance, executive updates, dashboards, and escalation.
• Support releases and adoption, improve delivery practices, and use authorized AI capabilities for planning, risk synthesis, and reporting with human review.

What they ask for

• 7+ years of experience or equivalent expertise in technical program management, leading complex technology programs in large organizations.
• Experience managing resources, budgets, timelines, and dependencies across concurrent workstreams or programs; strong technical fluency working with engineering and architecture teams.
• Advanced analytical, risk-management, change-leadership, stakeholder-influencing, and written and verbal communication skills.
• Understanding of standard ML Model development life cycle and Ml flow concepts; experience using enterprise-authorized AI capabilities with validation and data-sensitivity awareness.

Nice to have

• AWS (Lambda, DynamoDB/DAX, ECS), serverless, Kubernetes, Docker, Git/GitHub, Jenkins, Maven, and infrastructure automation.
• Databricks, Python, SQL, Spark, Confluence, and Slack.

Pay

USD 194,750.00-$285,000.00 base salary

Tools

AWS, Lambda, DynamoDB/DAX, ECS, Kubernetes, Docker, Git/GitHub, Jenkins

AI focus

Uses enterprise-authorized AI for program planning, dependency and risk synthesis, executive-ready reporting, governance, and continuous improvement, with human review and attention to data sensitivity.