Job Title: AI Program Manager (Enterprise AI/ML & Analytics)

[Murali Krishna Tummala]

Job Title: AI Program Manager (Enterprise AI/ML & Analytics)
Location: Denver, CO

In person interview mandatory

Work Visa : Only GC, Citizen & H1b (if I140 approved)

Role Summary

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.

Need genuine experience and genuine visa and Linked in
Mail me Resume kri...@readpointe.com

Key Responsibilities
 End-to-end program ownership
o Lead complex AI/ML, Data Science, and Analytics programs from ideation,
scoping, and planning through execution, launch, and post-launch
optimization.
o Own program and project outcomes end-to-end, being accountable for on-
time, on-budget delivery that meets or exceeds stakeholder expectations.
o Develop and manage integrated roadmaps, plans, milestones, and
dependencies across multiple teams and workstreams.

 Delivery and execution
o Drive disciplined execution across multiple Agile teams, ensuring clarity of
scope, priorities, and success metrics.
o Proactively identify and manage risks, issues, and interdependencies;
remove obstacles to keep teams moving.
o Implement and maintain robust tracking of schedules, budgets, resources,
and KPIs, providing clear visibility to stakeholders.

 AI/ML and analytics program leadership

o 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.
o Ensure that technical efforts align with business objectives, regulatory
requirements, and technology strategy.
o Help teams translate ambiguous business problems into structured AI/ML
projects with clear deliverables and outcomes.
 Cross-functional and executive collaboration
o Partner with business leaders, product, technology, operations, and
risk/compliance to align on priorities and success criteria.
o Prepare and deliver concise, executive-ready updates, dashboards, and
communications on program status, risks, and value.
o Secure executive buy-in for new initiatives by clearly articulating business
cases, tradeoffs, and impact.
 Agile leadership and ways of working
o Champion Agile methodologies across multiple teams, ensuring alignment
on ceremonies, artifacts, and best practices.
o Foster a culture of continuous improvement, experimentation, and learning
while maintaining strong delivery discipline.
o Help shape and refine processes, governance, and tooling to support
efficient, scalable AI/ML delivery.

Required Qualifications
 Education & credentials
o Bachelor’s degree in Project Management, Program Management, or
Computer Science (strongly preferred).
o Bachelor’s degree in a related field (e.g., Business, Engineering,
Information Systems) may be considered with equivalent experience.
o Relevant project/program management certifications (e.g., PMP, PgMP,
PMI-ACP, SAFe, ScrumMaster, PRINCE2, or equivalent).

 Experience

o 8+ years of program and project management experience in Agile
environments, owning and being accountable for delivery on time and
within budget.
o 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.
o Proven track record of leading complex, cross-functional technology
programs with multiple stakeholders and dependencies.

 Skills & competencies
o Meticulous, “maniacal” eye for detail with a strong, results-oriented
mindset.
o Demonstrated ability to own programs end-to-end, being accountable for
the success or failure of products and features.
o Strong leadership skills with experience partnering with technical leaders
to drive vision and execution.
o Excellent written and verbal communication skills, with the ability to
translate highly technical AI/ML details into clear, executive-ready
summaries.
o Proven ability to work cross-functionally and comfortably engage with
senior executives to gain buy-in for future efforts.
o Deep understanding of Agile methodologies and how to scale Agile
across multiple teams (culture, methodology, and process).
o Strong grounding in project and program management practices, including
planning, budgeting, risk management, and stakeholder management.
o Highly strategic and business-focused, able to connect AI/ML initiatives
to business outcomes, ROI, and operational impact.
o 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.