Lead Principal Technical Program Manager

Oracle Cloud Infrastructure (OCI) is building capabilities that connect scientific computing, data, artificial intelligence (AI), and laboratory automation. We are seeking a Lead Principal Technical Program Manager to lead integrated technical execution across scientific computing, genomics and pathogens workflows, laboratory automation, and the shared capabilities that connect computational and physical experimentation.

This senior individual contributor role independently drives complex programs spanning engineering, product management, architecture, applied science, customer environments, and external partners. You will turn evolving objectives into executable plans, resolve technical and organizational dependencies, and lead delivery from initial integration through production readiness and ongoing operation. You will shape how teams execute and give senior leaders the analysis and recommendations needed to make consequential decisions.

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: $116,600 to $264,100 per annum. May be eligible for bonus, equity, and compensation deferral.


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.
As part of Oracle's onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment.

• Own integrated program planning and execution across scientific computing, laboratory automation, and shared scientific capabilities. Translate product priorities and architectural direction into milestones, accountable owners, dependency plans, and measurable delivery outcomes.
• Forecast engineering capacity, integration costs, equipment dependencies, and funding needs with engineering and product leaders. Analyze options and recommend resource and investment decisions using delivery impact, cost, and expected benefits.
• Assess changes to scope, priorities, staffing, requirements, and schedule. Make impacts and tradeoffs explicit, secure decisions from accountable owners, and maintain an agreed delivery plan as customer needs and technical evidence evolve.
• Engage deeply with service architecture, scientific workflows, cloud infrastructure, data flows, laboratory integration, and operational constraints. Identify missing decisions and technical dependencies, bring the right experts together, and drive issues to resolution.
• Lead planning across software delivery, laboratory and site readiness, equipment availability, vendor integration, customer access, and staffing. Advance these activities in parallel and make the consequences of sequencing and resource choices explicit.
• Establish readiness and acceptance criteria with engineering owners, product managers, scientists, and customer teams. Drive integrated validation covering interfaces, performance, security, reproducibility, observability, failure recovery, and the requirements of physical systems.
• Own program risk analysis and mitigation. Diagnose threats to commitments early, develop practical options, drive recovery plans, and escalate decisions with clear recommendations and impacts on scope, resources, cost, quality, and schedule.
• Lead integrated delivery across geographically distributed engineering teams, customer laboratories, equipment vendors, and scientific partners. Coordinate pilots and production introductions, ensuring deployment, support, incident response, and operational ownership are ready before commitments transfer.
• Lead execution reviews and maintain a reliable view of commitments, decisions, capacity, and risk. Communicate independently with senior executives and customer technical leaders, supported by accurate evidence and technical understanding.
• Drive improvements in engineering and program execution with organizational leaders. Apply AI agents and automation to planning, dependency analysis, validation, and operational feedback, and eliminate manual reporting that does not improve decisions or outcomes.
• Measure delivery predictability, integration lead time, quality, customer acceptance, service reliability, and coordination effort. Partner with service owners to address gaps in sustained customer commitments and operational performance. Use the results to improve execution and make future deployments more repeatable.
• Influence priorities and resolve disagreements across organizational boundaries. Mentor program managers and raise technical execution standards while keeping product decisions, architecture, and service delivery accountability with their designated owners.
  
  Minimum Qualifications

• Bachelor’s degree in Computer Science, Engineering, a related technical discipline, or equivalent practical experience.

• 10+ years of relevant experience in technical program management, software engineering, systems engineering, or related technical delivery roles, including substantial leadership of complex programs across multiple teams.

• Demonstrated ability to independently lead critical programs from ambiguous objectives through integrated delivery, production readiness, and customer acceptance.

• Technical depth sufficient to challenge assumptions, understand architecture and interfaces, analyze failure modes, and resolve dependencies with engineering leaders across cloud services, distributed systems, data platforms, or automation systems.

• Experience managing delivery across geographically distributed teams and organizational and partner boundaries, including resource constraints, technical risks, changing requirements, and recovery from missed commitments.

• Strong analytical judgment, written communication, executive presentation, and negotiation skills. Ability to identify organizational execution problems and drive improvement through influence without formal authority.

  Preferred Qualifications

• Experience delivering scientific computing or research data programs in areas such as genomics, bioinformatics, computational biology, or pathogens research, including computational workflows, data integration, and reproducible scientific results.

• Experience delivering laboratory automation or robotics programs, including integration of instruments and software, coordination with equipment vendors and customer laboratories, site readiness, workflow recovery, and operational acceptance.

• Familiarity with cloud security, service operations, and validation of scientific or AI enabled systems.

• Experience implementing AI native engineering or program practices, using agents and automated feedback to improve throughput, quality, execution visibility, and organizational effectiveness.