Program Manager

Brooksource

Atlanta (GA)

On-site

USD 120,000 - 170,000

Full time

34 hours ago
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Benefits offered by this job

Competitive benefits package
401(k) plan with company match
Paid time off and holidays

Job summary

Brooksource seeks an experienced Program Manager to lead complex Enterprise AI initiatives in Atlanta, driving cross-functional delivery for technology, data, and business use cases. You will translate strategy into detailed execution plans, manage integrated programs, and coordinate stakeholders across Product, Engineering, Data, and Operations.

The role emphasizes hands-on leadership, structured execution, and navigating ambiguity within large, matrixed organizations.

Qualifications

  • Bachelor's degree or equivalent experience.
  • 7+ years of program, project, or technology delivery management experience, ideally at Senior PM level.
  • Proven experience leading complex, cross-functional initiatives within large, matrixed organizations.
  • Demonstrated experience leading technology, digital, data, analytics, platform, software, or business transformation initiatives.
  • Strong hands-on experience developing and managing integrated program plans, schedules, milestones, dependencies, risks, issues, and action items.
  • Proven ability to drive structured execution across multiple teams and workstreams.
  • Proven ability to influence outcomes and drive accountability without direct authority.

Responsibilities

  • Lead the planning and execution of complex, cross-functional Enterprise AI initiatives, products, capabilities, and business use cases.
  • Translate strategic objectives into detailed, actionable delivery plans, milestones, timelines, and workstreams.
  • Build and maintain integrated program plans, including dependencies, risks, issues, assumptions, decisions, and action items.
  • Coordinate execution across Product, Engineering, Data, Technology, Operations, and business stakeholders.
  • Establish delivery cadences, working sessions, status reporting, and governance routines that keep teams aligned and accountable.
  • Drive resolution of cross-functional issues, blockers, and dependencies to maintain delivery momentum.
  • Proactively identify delivery risks and develop mitigation strategies and actionable recommendations.
  • Facilitate working sessions and decision-making across technical and business teams.
  • Track milestones, deliverables, and commitments across multiple workstreams and stakeholder groups.
  • Ensure requirements, dependencies, assumptions, implementation considerations, and decisions are clearly documented and understood.
  • Drive accountability and follow-through across teams in a matrixed environment.
  • Provide clear, concise visibility into program status, risks, issues, dependencies, and upcoming milestones.
  • Support testing, implementation, operational readiness, launch, and post-launch transition activities.
  • Partner closely with the Program Delivery Lead and IT PMO to ensure effective execution of assigned Enterprise AI priorities.
  • Adapt delivery approaches as priorities evolve while maintaining structure, accountability, and focus on outcomes.

Skills

Program management
Cross-functional leadership
Delivery leadership
Structured execution
Stakeholder management
Risk management
Facilitation
Communication
Ambiguity navigation
Leadership without authority
PMP certification

Education

Bachelor's degree

Job description

The Program Manager will play a key role within the Enterprise AI organization, providing hands‑on delivery leadership for complex AI, technology, data, platform, and business initiatives. Working alongside Enterprise AI leadership, the IT PMO, Product Management, Engineering, Data, and business stakeholders, this role is responsible for translating strategic priorities into structured execution plans and driving initiatives through successful delivery.

The ideal candidate is a strong Senior Program Manager with experience leading complex initiatives within large, matrixed organizations. This is a highly execution-oriented role requiring someone who can quickly bring structure to ambiguity, develop and manage integrated plans, coordinate cross‑functional teams, resolve issues, manage dependencies, and maintain momentum through delivery. While the Program Manager will support Enterprise AI initiatives, deep AI expertise is not required. The most important qualifications are strong technology program management fundamentals, hands‑on delivery leadership, structured execution, and the ability to effectively navigate complex organizations.

Key Responsibilities
  • Lead the planning and execution of complex, cross‑functional Enterprise AI initiatives, products, capabilities, and business use cases.
  • Translate strategic objectives into detailed, actionable delivery plans, milestones, timelines, and workstreams.
  • Build and maintain integrated program plans, including dependencies, risks, issues, assumptions, decisions, and action items.
  • Coordinate execution across Product, Engineering, Data, Technology, Operations, and business stakeholders.
  • Establish delivery cadences, working sessions, status reporting, and governance routines that keep teams aligned and accountable.
  • Drive resolution of cross‑functional issues, blockers, and dependencies to maintain delivery momentum.
  • Proactively identify delivery risks and develop mitigation strategies and actionable recommendations.
  • Facilitate working sessions and decision‑making across technical and business teams.
  • Track milestones, deliverables, and commitments across multiple workstreams and stakeholder groups.
  • Ensure requirements, dependencies, assumptions, implementation considerations, and decisions are clearly documented and understood.
  • Drive accountability and follow‑through across teams in a matrixed environment.
  • Provide clear, concise visibility into program status, risks, issues, dependencies, and upcoming milestones.
  • Support testing, implementation, operational readiness, launch, and post‑launch transition activities.
  • Partner closely with the Program Delivery Lead and IT PMO to ensure effective execution of assigned Enterprise AI priorities.
  • Adapt delivery approaches as priorities evolve while maintaining structure, accountability, and focus on outcomes.
Required Qualifications
  • Bachelor's degree or equivalent experience.
  • 7+ years of program, project, or technology delivery management experience, ideally at a Senior Program Manager level.
  • Proven experience leading complex, cross‑functional initiatives within large, matrixed organizations.
  • Demonstrated experience leading technology, digital, data, analytics, platform, software, or business transformation initiatives.
  • Strong hands‑on experience developing and managing integrated program plans, schedules, milestones, dependencies, risks, issues, and action items.
  • Proven ability to drive structured execution across multiple teams and workstreams.
  • Strong issue‑resolution and problem‑solving skills, with the ability to identify blockers and drive them to resolution.
  • Experience coordinating across business, product, engineering, data, and operational stakeholders.
  • Strong facilitation, communication, organization, and stakeholder management skills.
  • Ability to manage competing priorities and navigate complex organizational environments.
  • Demonstrated ability to influence outcomes and drive accountability without direct authority.
  • Experience working effectively in environments with evolving priorities and ambiguity.
  • PMP, PMI-ACP, SAFe, or equivalent certification preferred.
Preferred Qualifications
  • Experience supporting Enterprise AI, artificial intelligence, analytics, data, automation, digital transformation, or emerging technology initiatives.
  • Familiarity with product‑centric and Agile delivery models.
  • Understanding of software development lifecycles, implementation planning, testing, release management, and operational readiness.
  • Experience supporting enterprise platforms, shared capabilities, or complex technology ecosystems.
  • Experience working closely with Product Management, Engineering, Data, and business teams.
  • Familiarity with modern cloud, data, analytics, or AI technologies.
  • Experience within healthcare, payer, or other regulated industries.
  • Experience using AI‑enabled productivity and delivery acceleration tools.

Eight Eleven Group provides equal employment opportunities (EEO)to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws.

Disclaimer: Brooksource, Medasource, and Calculated Hire are part of the Eight Eleven Group family of companies and operate under Eight Eleven Group, LLC. All employees receive the same benefits, policies, and terms of employment.

EEO Statement: We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, military or veteran status, citizenship, pregnancy (including childbirth, lactation, and related conditions), or any other protected status in accordance with applicable federal, state, and local laws.

Benefits & Perks: Brooksource offers competitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage with plans that can fit each employee's needs. We offer a 401k plan that includes a company match and is fully vested after you become eligible, paid time off, sick time, and paid company holidays. We also offer an Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching, etc.

Pay Disclaimer: The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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