Mgr-Program Mgmt

The Manager, Program Management will play an important role in the execution of large-scale programs within Enterprise CRM Solutions (eCRMs). This role will drive the delivery of key workstreams within broader programs, partnering closely with Product, Technology, and business teams to develop and manage execution plans, coordinate dependencies, identify and escalate risks, and support successful delivery against program objectives. 

In addition to driving workstream execution, the Manager will help connect delivery activities to the broader eCRMs strategy and roadmap, developing a strong understanding of how individual initiatives and decisions contribute to longer-term priorities. Working closely with program leadership and cross-functional partners, this role requires strong program management fundamentals, strategic thinking, and the ability to navigate complexity while helping translate eCRMs priorities into effective execution.

• Leads the execution and integration of key workstreams within large-scale eCRMs programs, developing and managing integrated plans, milestones, dependencies, and deliverables to drive successful execution.

• Connects large-scale program execution to strategy by ensuring major programs remain aligned to broader eCRMs, ICRST, and ETS strategies and enterprise goals, identifying cross-program dependencies, strategic considerations, opportunities, and trade-offs to inform planning and decision-making.

• Partners with Product, Technology, and business teams to align priorities and execution across workstreams, resolve cross-functional dependencies, and ensure delivery plans support broader program and business objectives.

• Owns the identification, assessment, and management of program risks, issues, dependencies, and resource constraints, driving mitigation plans and escalating critical items to senior program leadership as appropriate.

• Provides clear, timely, and actionable updates to senior stakeholders on program status, milestones, risks, dependencies, key decisions, and delivery outlook, ensuring transparency and alignment.

• Manages changes to scope, schedule, resources, and delivery plans using established change management and governance processes, assessing impacts and driving alignment on required trade-offs.

• Contributes to the full product development lifecycle from planning through delivery, partnering with Product and Technology teams to align execution with product, architectural, and technical strategies.

• Ensures program activities and documentation adhere to applicable organizational policies, governance requirements, regulatory standards, and quality expectations.

• Builds strong relationships and influences across Product, Technology, and business teams, connecting technology delivery with business objectives and broader eCRMs priorities.

• Uses AI-enabled program management and reporting capabilities to improve planning effectiveness, status tracking, dependency management, risk identification, delivery predictability, stakeholder transparency, and operational efficiency.

• Applies judgment and oversight when using AI-assisted and agentic capabilities for analysis, reporting, resource planning, risk management, and decision support, validating outputs for quality and accuracy prior to stakeholder communication.

• Demonstrates working knowledge of GenAI, intelligent automation, and emerging agentic capabilities and identifies opportunities to apply these technologies to improve program management and delivery practices.

• Proven and recent experience in enabling and defining product strategy

• Proven and recent experience in helping to translate product strategy into roadmap execution and auxiliary program execution

• Bachelor's degree in Engineering and/or comparable experience; advanced degree preferred

• Master's degree or MBA in Computer Science, Engineering, Analytics, Information Technology and/or comparable experience; advanced degree preferred

• Knowledge of AI-enabled project management, reporting, and collaboration capabilities used within program management functions

• Understanding of responsible AI practices, including governance awareness, output validation, and human oversight requirements