Program Manager 4

The Program Manager 4 is a vital leader within Oracle's AI initiatives, responsible for managing and executing high-impact programs. This role demands exceptional organizational skills and a strategic mindset to align diverse teams and deliver innovative AI solutions. The successful candidate will play a key role in shaping Oracle's AI strategy, ensuring its ethical and sustainable integration across the organization. Independently lead large, ambiguous, or multi-phase AI and technology programs with significant organizational impact. Own end-to-end program outcomes across multiple projects, workstreams, teams, vendors, systems, or business units. Translate business and AI strategies into integrated roadmaps, milestones, deliverables, resource plans, and measurable outcomes. Make informed recommendations about program sequencing, priorities, scope, and investment based on business value, risk, delivery feasibility, and resource capacity. Maintain alignment between program execution, organizational priorities, approved funding, and expected business benefits. Support the progression of AI capabilities from discovery and experimentation through deployment, adoption, monitoring, and operational support. Cross-Functional Leadership Lead through influence and expertise across product, engineering, data, business operations, security, privacy, legal, compliance, procurement, finance, and other participating functions. Align senior leaders and cross-functional stakeholders around shared objectives, responsibilities, timelines, decisions, and success measures. Facilitate decisions when stakeholders have competing priorities, requirements, constraints, or definitions of success. Clarify ownership and reinforce accountability for deliverables, dependencies, approvals, and follow-up actions. Serve as a trusted program advisor by presenting evidence-based recommendations, tradeoffs, risks, and decision options. Communicate complex AI, technical, and operational topics clearly to both technical and nontechnical audiences. Represent assigned programs in executive reviews, governance forums, steering committees, and strategic-planning discussions. Program Planning and Execution Develop and maintain integrated program plans covering discovery, use-case evaluation, data readiness, solution development, testing, implementation, adoption, and operational transition. Coordinate activities and dependencies across multiple project teams and workstreams. Monitor progress against scope, schedule, budget, quality, risk, adoption, and business-outcome targets. Identify underperforming or delayed workstreams and lead corrective-action planning. Manage changes to program scope, timelines, priorities, resources, and requirements through an appropriate change-control process. Ensure key program decisions, assumptions, risks, dependencies, approvals, and commitments are documented and communicated. Anticipate delivery challenges and develop solutions before issues materially affect program outcomes. Governance, Risk, and Responsible AI Establish fit-for-purpose governance structures, decision forums, escalation paths, reporting standards, and accountability mechanisms. Develop and maintain program risk registers, dependency maps, decision logs, action trackers, and change-control documentation. Identify and manage delivery, technology, data, privacy, security, compliance, adoption, vendor, and operational risks. Develop mitigation and contingency plans and escalate material concerns with clear recommendations. Partner with appropriate subject-matter experts to incorporate responsible AI, data-governance, privacy, security, legal, and regulatory considerations into program plans. Support realistic expectations regarding AI capabilities, limitations, appropriate use, and required human oversight. Ensure governance and control requirements are integrated into delivery activities rather than addressed only at the end of the program. Financial, Resource, and Vendor Management Develop and manage program budgets, financial forecasts, staffing assumptions, and resource plans. Track spending against approved budgets and explain material variances. Identify capacity, capability, funding, or resource constraints and develop options for resolving them. Evaluate tradeoffs among cost, scope, timing, risk, quality, and expected benefits. Support procurement, contracting, vendor selection, and statement-of-work development when required. Monitor third-party commitments, dependencies, deliverables, and performance. Ensure program investments remain aligned with strategic priorities and anticipated business value. Measurement and Business Outcomes Define clear program objectives, key performance indicators, adoption measures, and benefit-realization targets. Prepare concise executive dashboards, business reviews, status reports, decision materials, and recommendations. Evaluate whether delivered AI capabilities are producing intended operational, employee, customer, financial, or compliance outcomes. Monitor adoption, user readiness, process integration, and operational performance after implementation. Use data and stakeholder feedback to identify performance gaps and recommend corrective actions. Capture lessons learned and incorporate them into future planning, governance, and delivery practices. Change Management and Operational Readiness Integrate stakeholder engagement, communications, training, adoption, and readiness activities into the overall program plan. Assess organizational readiness and identify barriers that could limit adoption or business value. Coordinate operational-readiness reviews before major launches, releases, or transitions. Ensure support models, ownership, documentation, monitoring, controls, and escalation procedures are established before implementation. Partner with business leaders to define new processes, responsibilities, and ways of working enabled by AI capabilities. Promote sustainable adoption by balancing innovation and delivery speed with operational readiness and responsible use. Program-Management Excellence Create scalable program-management frameworks, governance mechanisms, templates, playbooks, and reporting standards. Identify opportunities to simplify delivery, strengthen controls, improve decision-making, and reduce unnecessary administrative work. Promote consistent project- and program-management practices across participating teams. Mentor project managers, program managers, and workstream leaders while remaining an individual contributor. Contribute expertise to portfolio planning, prioritization, investment decisions, and organizational capability-building initiatives. Model sound judgment, accountability, transparency, collaboration, and continuous improvement. Required Qualifications Bachelor’s degree in business administration, program management, information technology, computer science, engineering, data analytics, or a related discipline, or equivalent relevant professional experience. Eight or more years of progressively responsible experience in program management, project management, technology delivery, operations, business transformation, or a related field. Demonstrated experience independently owning complex, enterprise-level programs with multiple projects, workstreams, stakeholders, systems, or dependencies. Experience leading technology, AI, data, automation, analytics, cloud, or emerging-technology programs. Proven ability to operate effectively with limited day-to-day direction and make sound decisions in ambiguous or rapidly changing environments. Demonstrated ability to influence senior leaders and cross-functional teams without formal authority. Experience translating strategic objectives into structured roadmaps, governance mechanisms, delivery plans, and measurable outcomes. Experience identifying and resolving complex cross-functional risks, dependenci