VP, Head of Program Management - AI

We need to output HTML fragment with sections for headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We must not repeat job title. Must not include Job ID etc. Must preserve all substantive info, not invent or summarize away detail. Remove boilerplate like EEO, legal, etc. Also remove application instructions, navigation, cookie, etc. We need to parse the posting. Key sections: - Role Summary/Purpose: description. That could be "About the role". We'll put that under

About the role

with paragraphs. - Essential Responsibilities: list of responsibilities. Use

• . - Qualifications/Requirements: list of qualifications. Use
  • . - Desired Characteristics: could be under Skills or maybe separate. The instruction says use headings like Skills. We could put Desired Characteristics under Skills. Or maybe we can have a Skills section. - Grade/Level: 14 maybe not needed as heading; could be part of About the role? Probably not needed. - Pay: salary range given: "The salary range for this position is 170,000.00 - 290,000.00 USD Annual and is eligible for an annual bonus based on individual and company performance." Also mention adjustments per location. So we need a Pay section with that info. - Benefits: Not explicitly listed? There's "Our Way Of Working" about flexibility, remote/hub, commuting. Also maybe benefits not detailed. There's no explicit benefits like health, retirement. So we should not create Benefits section unless posting actually states them. It does mention flexibility, way of working, but not benefits like health insurance. So we skip Benefits. - Schedule: Not explicitly stated. There's mention of travel, commuting, but not schedule. So skip Schedule. - Also there is "Eligibility Requirements" etc. Those are legal/EEO etc. Should be removed as boilerplate. So we drop those. - Also "Our Way Of Working" could be considered part of About the role or maybe a separate section like Work Arrangement. But not in allowed headings. We could incorporate into About the role. - Also "Grade/Level: 14" maybe we could include in About the role or Requirements? Probably not needed. - Also "Desired Characteristics" we can put under Skills. Thus sections: About the role, Responsibilities, Requirements (maybe combine Qualifications/Requirements), Skills (Desired Characteristics), Pay. We must not repeat job title. Use

    for each section heading. We need to preserve all substantive info. Let's extract. About the role: The role summary/purpose paragraph(s). Also maybe the "This role leads the program management function..." etc. We'll combine. Let's copy the Role Summary/Purpose paragraph: "Help Synchrony accelerate responsible AI adoption and business impact across the enterprise. As Vice President, Head of Program Management for AI, you will lead the operating engine for the AI organization — translating AI strategy into disciplined execution across strategic initiatives, enablement programs, tooling rollouts, adoption efforts, governance forums, and cross-functional delivery priorities. Reporting to the Global Head of AI, you will establish and lead the program management function that gives the AI organization a single, trusted view of priorities, progress, dependencies, risks, and outcomes. You will partner closely with AI leadership, technology, product, business, risk, legal, compliance, HR, communications, and other enterprise stakeholders to ensure AI initiatives are well sequenced, well governed, and adopted at scale. You are an enterprise program leader who brings structure to ambiguity, communicates clearly with executives and delivery teams, and knows how to turn bold strategy into measurable progress. You are equally comfortable shaping an operating model, coordinating complex portfolios, driving adoption of new capabilities, and helping teams move faster while maintaining appropriate discipline in a regulated financial services environment. This role leads the program management function for the AI organization and is accountable for execution discipline, operating cadence, portfolio visibility, enablement coordination, adoption tracking, and executive reporting. It does not independently own AI model decisions, business case approval, technology architecture, risk acceptance, legal interpretation, or policy decisions; those remain with the appropriate accountable AI, business, technology, risk, legal, compliance, and governance owners. The role is expected to connect those owners, surface decisions, and drive the structure needed for timely, responsible execution." That's the summary. We could also include "Essential Responsibilities" as separate. Responsibilities list: each bullet after "Essential Responsibilities". Let's extract them: - Lead the AI program management function day-to-day — orchestrating execution across strategic AI initiatives, enablement programs, tooling rollouts, adoption efforts, and cross-functional projects. - Translate AI strategy into an integrated portfolio roadmap, milestone plan, dependency map, and execution rhythm that enables leadership to make timely tradeoff, sequencing, and resourcing decisions. - Establish and run the AI portfolio operating model — including intake, prioritization, governance forums, decision rights, escalation paths, status reporting, and portfolio health reviews. - Drive AI enablement activities across the firm, partnering with HR, learning, communications, business teams, technology, risk, legal, and compliance to coordinate training, awareness, change management, and adoption campaigns. - Lead program execution for AI tools rollout and adoption — ensuring launch readiness, communications, training, stakeholder alignment, feedback loops, adoption measurement, and disciplined follow-through on post-launch improvements. - Coordinate complex, enterprise-wide AI initiatives that require alignment across business units, technology teams, data partners, risk, legal, compliance, procurement, communications, and other enabling functions. - Aggregate, track, and report AI portfolio KPIs and program metrics, including progress against strategic priorities, adoption and engagement indicators, delivery health, risk, dependencies, issues, and executive decisions needed. - Maintain an accurate, trusted program record for AI initiatives, ensuring status reflects validated reality and that outcomes, decisions, risks, and dependencies are documented clearly for leadership review. - Develop and execute a proactive communication strategy for AI leadership, executive stakeholders, business partners, and enterprise audiences to build awareness, alignment, and momentum around AI priorities. - Coordinate AI portfolio financials in partnership with Finance and business owners — tracking investment, spend, benefits, and resource needs against plan. - Prepare and deliver executive-ready reporting and briefings for the Head of AI, senior leadership, and governance forums — clearly articulating priorities, progress, adoption, risks, tradeoffs, and decisions required. - Plan and orchestrate key AI program events, working sessions, leadership reviews, enablement forums, and adoption checkpoints, ensuring preparation, participation, clear outcomes, and disciplined follow-through. - Perform other duties and/or special projects as assigned We'll put each as

    . Requirements/Qualifications: The "Qualifications/Requirements" section includes: - Bachelor’s degree in a related discipline and 10+ years of program, portfolio, transformation, or strategic initiative leadership experience; in lieu of a degree, 14+ years of relevant experience. - Proven track record leading large, complex, enterprise-wide programs with multiple concurrent workstreams, senior stakeholders, and measurable business outcomes. - Experience delivering strategic technology, data, digital, analytics, automation, AI, or enterprise transformation programs in financial services, banking, or another highly regulated industry. - Working knowledge of AI, data, analytics, technology delivery, and change management concepts sufficient to coordinate credibly across technical, business, and control stakeholders. - Understanding of responsible AI, model governance, risk management, privacy, legal, compliance, and operational control considerations sufficient to support disciplined execution without making accountable risk decisions. - Experience with Agile, Scaled Agile, product operating models, and the tools delivery teams use day-to-day, such as Jira, SharePoint, or similar platforms. - Excellent written and verbal communication, including executive-level storytelling, portfolio reporting, and presentation of complex AI initiatives in clear business terms. - Demonstrated ability to influence without direct authority, manage conflict, build consensus, and align senior stakeholders across business, technology, and control functions. - Exceptional organization, prioritization, and portfolio management discipline, with the ability to keep a high volume of ambiguous, cross-functional work moving toward outcomes. - Experience managing vendors, consultants, internal centers of excellence, or shared enablement resources, including scope, deliverables, timelines, and outcomes. - Comfort operating amid complexity and ambiguity; able to create structure, drive decisions, and maintain momentum in a fast-evolving AI landscape. - Ability and flexibility to travel for business as required We'll put each as

    under Requirements. Skills (Desired Characteristics): list: - Experience supporting AI, generative AI, machine learning, data science, analytics, automation, or emerging technology programs is strongly preferred. - Experience driving enterprise change management, enablement, training, communications, and adoption for new technology capabilities or ways of working. - Experience standing up or running a program management, portfolio management, transformation, or center-of-excellence operating model from the ground up. - Proficiency with portfolio, program, adoption, and executive reporting tools, such as Microsoft Project, Planner, SharePoint, Power BI, Jira, or similar platforms. We'll put each as

    under Skills. Pay: The salary range paragraph: "The salary range for this position is 170,000.00 - 290,000.00 USD Annual and is eligible for an annual bonus based on individual and company performance. Actual compensation offered within the posted salary range will be based upon work experience, skill level or knowledge. Salaries are adjusted according to market in CA, NY Metro and Seattle." We'll put that as

    under Pay. We should not include other sections like Benefits, Schedule. We must not include boilerplate like eligibility requirements, legal, EEO, etc. We must output only HTML fragment, no or , no markdown fences. Let's craft. We'll start with

    About the role

    then

    with the summary (maybe multiple paragraphs? Could be one big paragraph). We'll keep as one

    containing the whole summary. Then

    Responsibilities

    then

    with
    • each. Then

      Requirements

      then
      . Then

      Skills

      then
      . Then

      Pay

      then

      . Make sure to preserve all details exactly as given, no summarizing. Check for any missing details: The summary also includes "Help Synchrony accelerate responsible AI adoption and business impact across the enterprise." That's first sentence. We included. Check that we didn't inadvertently omit any responsibility bullet: we have all 13? Let's count: The list had 13 bullets (including "Perform other duties..."). Let's list them again to ensure: 1 Lead the AI program management function day-to-day — orchestrating execution across strategic AI initiatives, enablement programs, tooling rollouts, adoption efforts, and cross-functional projects. 2 Translate AI strategy into an integrated portfolio roadmap, milestone plan, dependency map, and execution rhythm that enables leadership to make timely tradeoff, sequencing, and resourcing decisions. 3 Establish and run the AI portfolio operating model — including intake, prioritization, governance forums, decision rights, escalation paths, status reporting, and portfolio health reviews. 4 Drive AI enablement activities across the firm, partnering with HR, learning, communications, business teams, technology, risk, legal, and compliance to coordinate training, awareness, change management, and adoption campaigns. 5 Lead program execution for AI tools rollout and adoption — ensuring launch readiness, communications, training, stakeholder alignment, feedback loops, adoption measurement, and disciplined follow-through on post-launch improvements. 6 Coordinate complex, enterprise-wide AI initiatives that require alignment across business units, technology teams, data partners, risk, legal, compliance, procurement, communications, and other enabling functions. 7 Aggregate, track, and report AI portfolio KPIs and program metrics, including progress against strategic priorities, adoption and engagement indicators, delivery health, risk, dependencies, issues, and executive decisions needed. 8 Maintain an accurate, trusted program record for AI initiatives