NAVA Software solutions is looking for an AI Program Manager
Details:
AI Program Manager
Location: Denver CO Onsite
Duration: 12 months
We are seeking an experienced AI Program Manager to lead large-scale AI/ML Data Science and Analytics initiatives from inception through production deployment at enterprise (Fortune 100) scale. The ideal candidate combines deep program and project management expertise in Agile environments with strong business acumen excellent communication skills and a meticulous results-oriented mindset.
In this role you will be accountable for end-to-end delivery of complex AI/ML programs-owning timelines budgets risks and outcomes. You will partner closely with technical leaders executives and cross-functional stakeholders to define strategy prioritize roadmaps and ensure that AI investments deliver measurable business value.
Key Responsibilities
End-to-end program ownership
- Lead complex AI/ML Data Science and Analytics programs from ideation scoping and planning through execution launch and post-launch optimization.
- Own program and project outcomes end-to-end being accountable for on-time on-budget delivery that meets or exceeds stakeholder expectations.
- Develop and manage integrated roadmaps plans milestones and dependencies across multiple teams and workstreams.
Delivery and execution
- Drive disciplined execution across multiple Agile teams ensuring clarity of scope priorities and success metrics.
- Proactively identify and manage risks issues and interdependencies; remove obstacles to keep teams moving.
- Implement and maintain robust tracking of schedules budgets resources and KPIs providing clear visibility to stakeholders.
AI/ML and analytics program leadership
- Manage large-scale AI/ML and analytics initiatives at Fortune 100 scale coordinating with data scientists ML engineers data engineers software engineers and product teams.
- Ensure that technical efforts align with business objectives regulatory requirements and technology strategy.
- Help teams translate ambiguous business problems into structured AI/ML projects with clear deliverables and outcomes.
Cross-functional and executive collaboration
- Partner with business leaders product technology operations and risk/compliance to align on priorities and success criteria.
- Prepare and deliver concise executive-ready updates dashboards and communications on program status risks and value.
- Secure executive buy-in for new initiatives by clearly articulating business cases tradeoffs and impact.
Agile leadership and ways of working
- Champion Agile methodologies across multiple teams ensuring alignment on ceremonies artifacts and best practices.
- Foster a culture of continuous improvement experimentation and learning while maintaining strong delivery discipline.
- Help shape and refine processes governance and tooling to support efficient scalable AI/ML delivery.
Required Qualifications
Education & credentials
- Bachelors degree in Project Management Program Management or Computer Science (strongly preferred).
- Bachelors degree in a related field (e.g. Business Engineering Information Systems) may be considered with equivalent experience.
- Relevant project/program management certifications (e.g. PMP PgMP PMI-ACP SAFe ScrumMaster PRINCE2 or equivalent).
Experience
- 8 years of program and project management experience in Agile environments owning and being accountable for delivery on time and within budget.
- 8 years of experience managing large-scale AI/ML Data Science and Analytics programs and projects from inception to delivery at Fortune 100 or similarly large enterprise scale.
- Proven track record of leading complex cross-functional technology programs with multiple stakeholders and dependencies.
Skills & competencies
- Meticulous maniacal eye for detail with a strong results-oriented mindset.
- Demonstrated ability to own programs end-to-end being accountable for the success or failure of products and features.
- Strong leadership skills with experience partnering with technical leaders to drive vision and execution.
- Excellent written and verbal communication skills with the ability to translate highly technical AI/ML details into clear executive-ready summaries.
- Proven ability to work cross-functionally and comfortably engage with senior executives to gain buy-in for future efforts.
- Deep understanding of Agile methodologies and how to scale Agile across multiple teams (culture methodology and process).
- Strong grounding in project and program management practices including planning budgeting risk management and stakeholder management.
- Highly strategic and business-focused able to connect AI/ML initiatives to business outcomes ROI and operational impact.
- Demonstrated creativity and adaptability comfortable operating in fast-changing ambiguous environments while maintaining execution focus.
Preferred Qualifications
- Experience managing AI/ML and analytics initiatives in a Fortune 100 or similarly large complex or regulated organization.
- Background working closely with AI/ML Data Science and engineering teams; familiarity with the lifecycle of AI/ML products and platforms.
- Experience establishing or refining governance metrics and operating models for enterprise AI/ML programs.
NAVA Software solutions is looking for an AI Program Manager Details: AI Program Manager Location: Denver CO Onsite Duration: 12 months We are seeking an experienced AI Program Manager to lead large-scale AI/ML Data Science and Analytics initiatives from inception through production deployme...
NAVA Software solutions is looking for an AI Program Manager
Details:
AI Program Manager
Location: Denver CO Onsite
Duration: 12 months
We are seeking an experienced AI Program Manager to lead large-scale AI/ML Data Science and Analytics initiatives from inception through production deployment at enterprise (Fortune 100) scale. The ideal candidate combines deep program and project management expertise in Agile environments with strong business acumen excellent communication skills and a meticulous results-oriented mindset.
In this role you will be accountable for end-to-end delivery of complex AI/ML programs-owning timelines budgets risks and outcomes. You will partner closely with technical leaders executives and cross-functional stakeholders to define strategy prioritize roadmaps and ensure that AI investments deliver measurable business value.
Key Responsibilities
End-to-end program ownership
- Lead complex AI/ML Data Science and Analytics programs from ideation scoping and planning through execution launch and post-launch optimization.
- Own program and project outcomes end-to-end being accountable for on-time on-budget delivery that meets or exceeds stakeholder expectations.
- Develop and manage integrated roadmaps plans milestones and dependencies across multiple teams and workstreams.
Delivery and execution
- Drive disciplined execution across multiple Agile teams ensuring clarity of scope priorities and success metrics.
- Proactively identify and manage risks issues and interdependencies; remove obstacles to keep teams moving.
- Implement and maintain robust tracking of schedules budgets resources and KPIs providing clear visibility to stakeholders.
AI/ML and analytics program leadership
- Manage large-scale AI/ML and analytics initiatives at Fortune 100 scale coordinating with data scientists ML engineers data engineers software engineers and product teams.
- Ensure that technical efforts align with business objectives regulatory requirements and technology strategy.
- Help teams translate ambiguous business problems into structured AI/ML projects with clear deliverables and outcomes.
Cross-functional and executive collaboration
- Partner with business leaders product technology operations and risk/compliance to align on priorities and success criteria.
- Prepare and deliver concise executive-ready updates dashboards and communications on program status risks and value.
- Secure executive buy-in for new initiatives by clearly articulating business cases tradeoffs and impact.
Agile leadership and ways of working
- Champion Agile methodologies across multiple teams ensuring alignment on ceremonies artifacts and best practices.
- Foster a culture of continuous improvement experimentation and learning while maintaining strong delivery discipline.
- Help shape and refine processes governance and tooling to support efficient scalable AI/ML delivery.
Required Qualifications
Education & credentials
- Bachelors degree in Project Management Program Management or Computer Science (strongly preferred).
- Bachelors degree in a related field (e.g. Business Engineering Information Systems) may be considered with equivalent experience.
- Relevant project/program management certifications (e.g. PMP PgMP PMI-ACP SAFe ScrumMaster PRINCE2 or equivalent).
Experience
- 8 years of program and project management experience in Agile environments owning and being accountable for delivery on time and within budget.
- 8 years of experience managing large-scale AI/ML Data Science and Analytics programs and projects from inception to delivery at Fortune 100 or similarly large enterprise scale.
- Proven track record of leading complex cross-functional technology programs with multiple stakeholders and dependencies.
Skills & competencies
- Meticulous maniacal eye for detail with a strong results-oriented mindset.
- Demonstrated ability to own programs end-to-end being accountable for the success or failure of products and features.
- Strong leadership skills with experience partnering with technical leaders to drive vision and execution.
- Excellent written and verbal communication skills with the ability to translate highly technical AI/ML details into clear executive-ready summaries.
- Proven ability to work cross-functionally and comfortably engage with senior executives to gain buy-in for future efforts.
- Deep understanding of Agile methodologies and how to scale Agile across multiple teams (culture methodology and process).
- Strong grounding in project and program management practices including planning budgeting risk management and stakeholder management.
- Highly strategic and business-focused able to connect AI/ML initiatives to business outcomes ROI and operational impact.
- Demonstrated creativity and adaptability comfortable operating in fast-changing ambiguous environments while maintaining execution focus.
Preferred Qualifications
- Experience managing AI/ML and analytics initiatives in a Fortune 100 or similarly large complex or regulated organization.
- Background working closely with AI/ML Data Science and engineering teams; familiarity with the lifecycle of AI/ML products and platforms.
- Experience establishing or refining governance metrics and operating models for enterprise AI/ML programs.
View more
View less