This role is accountable for integrated program execution across cloud, data, AI engineering, security, and customer adoption. Programs may include enterprise automation, mission analytics, generative AI, or edge AI, with scope shaped by each agency’s operational needs. Oracle Cloud Infrastructure (OCI) is the primary delivery platform, with other government-approved environments integrated where required.
Internal Responsibilities
- Work with agency sponsors to define use cases, mission outcomes, program scope, success measures, and acceptance criteria before committing delivery milestones.
- Establish phased delivery plans for discovery, minimum viable products, pilots, operational evaluations, and production rollout; maintain dependencies and readiness criteria.
- Manage program schedules, budgets, staffing, deliverables, and risks across multiple workstreams; escalate decisions and scope changes through agreed governance.
- Coordinate Oracle teams, government stakeholders, systems integrators, and technology partners, with clear ownership of commitments and issue resolution.
- Coordinate data access, quality, stewardship, and integration activities so AI teams have approved, usable data and documented dependencies.
- Oversee delivery of OCI-based AI platforms, model repositories, analytics, and approved multi-cloud integrations; align technical choices with the target environment.
- Plan evaluation and operational readiness with technical leads, covering model quality, security, privacy, human oversight, monitoring, and AI risk controls.
- For edge AI assignments, coordinate deployment and evaluation against connectivity, latency, size, weight, power, and degraded-environment constraints.
- Integrate authorization activities, test evidence, customer approvals, training, and support plans into the delivery schedule; manage go-live and operational handoff.
- Provide executive reporting on outcomes, financial performance, risks, dependencies, and required decisions; track adoption and benefits after release.
Required Qualifications
- Bachelor’s degree in Engineering, Computer Science, Data Science, Information Systems, or a related field.
- 10+ years of experience managing complex IT, analytics, or advanced technology programs.
- Demonstrated experience managing AI/ML, data, or advanced analytics programs for defense or other federal customers.
- Understanding of the AI/ML lifecycle, including data preparation, model development, evaluation, deployment, inference, and ongoing monitoring.
- Experience managing cloud delivery programs, preferably involving OCI or comparable platforms, and coordinating security and operational dependencies.
- Proven ability to manage budgets, schedules, risks, and multi-vendor teams in regulated environments using phased or Agile delivery approaches.
- Strong leadership and stakeholder management skills, including executive communication and resolution of competing delivery priorities.
Preferred Qualifications
- Experience moving AI pilots into production, including generative AI, retrieval-augmented generation, AI agents, or advanced analytics.
- Experience with Federal Civilian enterprise or mission programs, defense command and control modernization, or tactical edge AI delivery.
- Familiarity with responsible AI practices, model evaluation, MLOps, data governance, and federal security authorization processes.
- Understanding of AI infrastructure needs, including GPU compute, high-performance networking, workload portability, and constrained edge deployments.
- Experience with an OEM or systems integrator delivering federal programs; PMP, PgMP, Agile, or relevant AI/ML certifications.
Citizenship and Access Requirements
US citizenship is required. An active Secret clearance is required for cleared DoW assignments. Federal Civilian and other assignments are subject to the contract’s clearance, suitability, Public Trust, and system-access requirements.
External Responsibilities
- Work with agency sponsors to define use cases, mission outcomes, program scope, success measures, and acceptance criteria before committing delivery milestones.
- Establish phased delivery plans for discovery, minimum viable products, pilots, operational evaluations, and production rollout; maintain dependencies and readiness criteria.
- Manage program schedules, budgets, staffing, deliverables, and risks across multiple workstreams; escalate decisions and scope changes through agreed governance.
- Coordinate Oracle teams, government stakeholders, systems integrators, and technology partners, with clear ownership of commitments and issue resolution.
- Coordinate data access, quality, stewardship, and integration activities so AI teams have approved, usable data and documented dependencies.
- Oversee delivery of OCI-based AI platforms, model repositories, analytics, and approved multi-cloud integrations; align technical choices with the target environment.
- Plan evaluation and operational readiness with technical leads, covering model quality, security, privacy, human oversight, monitoring, and AI risk controls.
- For edge AI assignments, coordinate deployment and evaluation against connectivity, latency, size, weight, power, and degraded-environment constraints.
- Integrate authorization activities, test evidence, customer approvals, training, and support plans into the delivery schedule; manage go-live and operational handoff.
- Provide executive reporting on outcomes, financial performance, risks, dependencies, and required decisions; track adoption and benefits after release.
Required Qualifications
- Bachelor’s degree in Engineering, Computer Science, Data Science, Information Systems, or a related field.
- 10+ years of experience managing complex IT, analytics, or advanced technology programs.
- Demonstrated experience managing AI/ML, data, or advanced analytics programs for defense or other federal customers.
- Understanding of the AI/ML lifecycle, including data preparation, model development, evaluation, deployment, inference, and ongoing monitoring.
- Experience managing cloud delivery programs, preferably involving OCI or comparable platforms, and coordinating security and operational dependencies.
- Proven ability to manage budgets, schedules, risks, and multi-vendor teams in regulated environments using phased or Agile delivery approaches.
- Strong leadership and stakeholder management skills, including executive communication and resolution of competing delivery priorities.
Preferred Qualifications
- Experience moving AI pilots into production, including generative AI, retrieval-augmented generation, AI agents, or advanced analytics.
- Experience with Federal Civilian enterprise or mission programs, defense command and control modernization, or tactical edge AI delivery.
- Familiarity with responsible AI practices, model evaluation, MLOps, data governance, and federal security authorization processes.
- Understanding of AI infrastructure needs, including GPU compute, high-performance networking, workload portability, and constrained edge deployments.
- Experience with an OEM or systems integrator delivering federal programs; PMP, PgMP, Agile, or relevant AI/ML certifications.
Citizenship and Access Requirements
US citizenship is required. An active Secret clearance is required for cleared DoW assignments. Federal Civilian and other assignments are subject to the contract’s clearance, suitability, Public Trust, and system-access requirements.
