Sustainability Program Manager Jobs in Tennessee

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.

Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.

True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling 1-888-404-2494 in the United States.

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Disclaimer:
Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.
Range and benefit information provided in this posting are specific to the stated locations only
US: Hiring Range in USD from: $90,100 to $209,500 per annum. May be eligible for bonus and equity.
Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance
The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

Career Level - IC4

• 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, 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 both 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.

Preferred Qualifications

• 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.