Principal Technical Program Manager-BETS

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 (Executive Director) in Business Enablement and Transformation, you will lead complex, cross-functional transformation programs that modernize the operating model and Ways of Working across Product, Platform, Engineering, and Operations as AI becomes embedded across the capability lifecycle.

You will translate strategy into measurable outcomes by building scalable execution systems that improve productivity, optimize resources, reduce toil and waste, and increase transparency of value realization.

In this role, you will partner closely with senior leaders across [IP/domain/portfolio], including the Chief of Staff and Business Transformation leadership, to drive enterprise-level alignment, governance, and delivery across domains while operating effectively through ambiguity and change.

Job responsibilities


* Develop and implement strategic program plans aligned with organizational goals, including scope, success metrics, milestones, governance, and cross-functional operating cadence.


* Diagnose performance constraints and design optimization interventions by assessing operating effectiveness across domains; identifying bottlenecks, rework drivers, duplicative processes, and structural inefficiencies; and translating findings into data-grounded cases for change.


* Build and embed cross-domain Ways of Working that align teams to shared outcomes and reduce friction, including decision rights, interlocks, prioritization/funding cadence, standardized intake and delivery playbooks, and end-to-end dependency management.


* Drive portfolio-level cost, expense, and resource optimization by establishing mechanisms that connect investment to outcomes (e.g., unit economics, productivity indicators, capability-level success metrics), and by partnering with finance and leadership to execute rationalization, standardization, and de-duplication opportunities.


* Evolve team structures for AI-enabled delivery across the lifecycle by shaping role and team design as AI/automation are embedded into design, build, test, release, operate, and improve activities; defining measurable outcomes (e.g., cycle time, incident/alert reduction, defect/rework reduction, reliability, cost-to-serve).


* Mobilize execution and sustain adoption by running governance forums, managing RAID (risks, assumptions, issues, dependencies), overcoming barriers through clear decision paths and escalation, and institutionalizing learnings into durable standards and routines.


* Partner with Risk, Controls, and relevant control functions to ensure appropriate oversight, lifecycle management, performance monitoring, and adherence to firm standards as operating model and AI-enabled practices are adopted.

Required qualifications, capabilities, and skills


* 15+ years of relevant ...