Program Manager 4

Oracle•United States,

2d•$91,000 - $209,500

About The Position

The Program Manager 4 is a leader in Oracle’s AI initiatives, responsible for independently managing and executing high-impact, complex, and often ambiguous technology programs. The role translates strategic objectives into integrated plans and roadmaps, coordinates delivery across multiple projects and functions, and guides AI capabilities from discovery through deployment, adoption, monitoring, and operational support. It works with senior leaders and cross-functional stakeholders to make decisions, manage risks and resources, and deliver measurable business outcomes. The position establishes appropriate governance, responsible-AI and risk controls, financial and vendor-management practices, outcome measurement, and change-management and operational-readiness activities. It also develops scalable program-management practices and mentors project, program, and workstream leaders while remaining an individual contributor. The role calls for a bachelor’s degree or equivalent relevant experience and at least eight years of progressively responsible related experience. A master’s degree, relevant certifications, and experience with AI, responsible AI, enterprise transformation, or regulated and distributed organizations are preferred. Oracle’s U.S. hiring range for the stated locations is $91,000–$209,500 per year, with possible bonus and equity eligibility. Oracle lists medical, dental, and vision insurance; disability and life insurance; flexible spending accounts; commuter and parking benefits; a 401(k) plan with company match; paid time off, holidays, and sick leave; paid parental leave; adoption assistance; an employee stock purchase plan; financial planning and group legal benefits; and voluntary auto, homeowner, and pet insurance. The posting also describes volunteer programs and flexible medical, life-insurance, and retirement options.

Requirements

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 involving multiple projects, workstreams, stakeholders, systems, or dependencies.
Experience leading technology, AI, data, automation, analytics, cloud, or emerging-technology programs.
Ability to work 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 roadmaps, governance mechanisms, delivery plans, and measurable outcomes.
Experience identifying and resolving complex cross-functional risks, dependencies, resource constraints, and delivery challenges.
Strong executive communication, presentation, facilitation, negotiation, and stakeholder-management skills.
Experience managing program scope, schedules, budgets, resources, vendors, risks, issues, and performance measures.
Ability to communicate technical and AI-related concepts clearly to technical and nontechnical audiences.
Experience preparing executive dashboards, program reviews, recommendations, and decision materials.
Strong analytical, organizational, problem-solving, and decision-making capabilities.
Proficiency with standard project-management, collaboration, spreadsheet, reporting, and presentation tools.

Nice To Haves

Master’s degree in business administration, management, information systems, data science, technology, or a related field.
Project Management Professional, Program Management Professional, Agile, Scrum, Lean Six Sigma, or change-management certification.
Experience managing AI or machine-learning initiatives through discovery, evaluation, deployment, adoption, monitoring, and operational support.
Experience incorporating privacy, security, model-risk, compliance, data-governance, or responsible-AI requirements into program delivery.
Experience leading enterprise transformation, technology implementation, process-improvement, or operational-change programs.
Experience working in a regulated, highly matrixed, or geographically distributed organization.
Familiarity with portfolio management, product operating models, benefits realization, and executive-level governance.
Experience managing external technology, consulting, implementation, or strategic vendor relationships.

Responsibilities

Independently lead large, ambiguous, or multi-phase AI and technology programs with significant organizational impact.
Own end-to-end program outcomes across projects, workstreams, teams, vendors, systems, or business units.
Translate business and AI strategies into roadmaps, milestones, deliverables, resource plans, and measurable outcomes.
Recommend program sequencing, priorities, scope, and investment based on value, risk, feasibility, and capacity.
Maintain alignment between execution, organizational priorities, approved funding, and expected benefits.
Support AI capabilities from discovery and experimentation through deployment, adoption, monitoring, and operational support.
Lead and align cross-functional stakeholders, facilitate decisions, clarify accountability, advise on tradeoffs and risks, and represent programs in executive and governance forums.
Develop integrated program plans and coordinate dependencies across teams and workstreams.
Monitor scope, schedule, budget, quality, risk, adoption, and business outcomes; address delays and manage change control.
Document and communicate program decisions, assumptions, risks, dependencies, approvals, and commitments.
Establish governance structures, decision forums, escalation paths, reporting standards, and accountability mechanisms.
Identify and manage delivery, technology, data, privacy, security, compliance, adoption, vendor, and operational risks; develop mitigations and escalate material concerns.
Incorporate responsible AI, data governance, privacy, security, legal, and regulatory considerations into delivery plans, including appropriate human oversight.
Develop and manage budgets, forecasts, staffing assumptions, and resource plans; track spending and explain variances.
Assess resource and funding constraints, evaluate tradeoffs, and support procurement, contracting, vendor selection, and statements of work when needed.
Monitor third-party commitments, dependencies, deliverables, and performance.
Define program objectives, KPIs, adoption measures, and benefit-realization targets; prepare executive dashboards, reviews, reports, and recommendations.
Evaluate delivered AI capabilities and monitor adoption, readiness, process integration, and operational performance; use data and feedback to recommend corrective actions.
Capture lessons learned and apply them to future planning and delivery.
Integrate stakeholder engagement, communications, training, adoption, readiness, and operational-readiness reviews into program plans.
Ensure support models, ownership, documentation, monitoring, controls, and escalation procedures are in place before implementation.
Develop scalable program-management frameworks, governance mechanisms, templates, playbooks, and reporting standards.
Improve delivery practices and promote consistent project- and program-management practices across teams.
Mentor project managers, program managers, and workstream leaders while serving as an individual contributor.
Contribute expertise to portfolio planning, prioritization, investment decisions, and organizational capability building.

Benefits

Medical, dental, and vision insurance, including expert medical opinion.
Short-term and long-term disability insurance.
Life insurance and AD&D.
Supplemental life insurance for employees, spouses, and children.
Health care and dependent care flexible spending accounts.
Pre-tax commuter and parking benefits.
401(k) Savings and Investment Plan with company match.
Flexible or accrued paid vacation, depending on eligibility and position.
11 paid holidays.
Paid sick leave, with 72 hours upon hire and annual refresh subject to a 112-hour maximum carryover cap.
Paid parental leave.
Adoption assistance.
Employee Stock Purchase Plan.
Financial planning and group legal benefits.
Voluntary auto, homeowner, and pet insurance.
May be eligible for bonus and equity.
Volunteer programs.