Lead Principal Technical Program Manager

Oracle • Nashville, TN

3d

About The Position

Oracle Cloud Infrastructure (OCI) is building capabilities that connect scientific computing, data, artificial intelligence, and laboratory automation. The Lead Principal Technical Program Manager leads integrated technical execution across scientific computing, genomics and pathogens workflows, laboratory automation, and shared capabilities connecting 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. The role translates evolving objectives into executable plans, resolves technical and organizational dependencies, and leads delivery from initial integration through production readiness and ongoing operation. It also shapes how teams execute and provides senior leaders with analysis and recommendations for consequential decisions.

The position owns program planning and execution, capacity and investment analysis, scope and schedule management, technical dependency resolution, readiness and validation, risk mitigation, geographically distributed delivery, pilots and production introductions, and operational handoffs. It leads execution reviews, communicates with executives and customer technical leaders, improves engineering and program practices, and applies AI agents and automation to planning, dependency analysis, validation, and operational feedback. The role measures delivery predictability, integration lead time, quality, customer acceptance, service reliability, and coordination effort, and partners with service owners to improve sustained customer commitments and operational performance. It mentors program managers and raises technical execution standards while leaving product decisions, architecture, and service-delivery accountability with their designated owners.

Requirements

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

Nice To Haves

• 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 instrument and software integration, 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.

Responsibilities

• 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 based on delivery impact, cost, and expected benefits.
• Assess changes to scope, priorities, staffing, requirements, and schedule; clarify impacts and tradeoffs, secure decisions from accountable owners, and maintain an agreed delivery plan as customer needs and technical evidence evolve.
• Engage with service architecture, scientific workflows, cloud infrastructure, data flows, laboratory integration, and operational constraints; identify missing decisions and dependencies, convene experts, and drive issues to resolution.
• Lead planning across software delivery, laboratory and site readiness, equipment availability, vendor integration, customer access, and staffing, while clarifying sequencing and resource tradeoffs.
• 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 physical-system requirements.
• Own program risk analysis and mitigation; identify threats early, develop options and recovery plans, and escalate decisions with clear 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 using 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, and use 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 leaving product decisions, architecture, and service-delivery accountability with their designated owners.

Benefits

• Medical, dental, and vision insurance, including expert medical opinion.
• Short-term and long-term disability.
• 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 vacation, according to eligibility and position; vacation accrual is described for employees working at least 20 hours per week.
• 11 paid holidays.
• Paid sick leave: 72 hours upon hire, refreshed each calendar year, with unused balance carrying over up to a maximum of 112 hours.
• 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, equity, and compensation deferral.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal