Project/Program Manager - IT 2

TALENT Software Services

San Francisco (CA)

On-site

USD 130,000 - 170,000

Full time

4 hours ago

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Job summary

TALENT Software Services seeks an experienced AI Program Manager to lead intake, triage, governance, and execution of AI initiatives. You will align AI projects with enterprise strategy, partner with stakeholders, and drive standardized processes across the AI portfolio.

Ideal candidates bring 5+ years in program management, strong AI literacy, and proven ability to manage complex workflows with risk and governance considerations.

Qualifications

Bachelor's degree in Business, Technology, Data Science, or related field.
5 years of experience in program management, strategy, consulting, or technology delivery.
Demonstrated experience working with AI, machine learning, or advanced analytics initiatives.
Strong understanding of AI concepts, capabilities, limitations, and risks (e.g., bias, data quality, model governance).
Experience with governance frameworks, risk management, or compliance processes.

Responsibilities

AI Intake & Triage: primary intake point for AI requests; evaluate use cases for completeness and alignment; clarify objectives, data requirements, and success metrics; identify gaps.
Governance & Process Management: shepherd AI initiatives through governance, risk, compliance, and approval processes; ensure adherence to AI policies and regulatory requirements.
Strategic Alignment & Advisory: assess AI opportunities against enterprise strategy; challenge requests for value, scalability, and risk; advise on appropriate AI vs alternatives.
Stakeholder Engagement: act as trusted advisor to business leaders and technical teams; translate between technical and non-technical stakeholders; facilitate workshops.
Program Oversight & Continuous Improvement: track initiatives from intake to execution; develop standardized intake frameworks; identify risks and opportunities; improve governance processes.

Skills

Strategic thinking

Critical thinking

Program management

Communication

Influence & partnership

Analytical mindset

Education

Bachelor's degree in Business, Technology, Data Science, or related field

Job description

Day to Day Responsibilities

(Being thorough in this section will allow the suppliers to pre-identify candidates more accurately.)

Key Responsibilities
- AI Intake & Triage
  - Serve as the primary intake point for all AI-related requests across the organization
  - Evaluate and triage incoming AI use cases for completeness, feasibility, and strategic alignment
  - Partner with requestors to clarify objectives, expected outcomes, data requirements, and success metrics
  - Identify gaps in submissions and ensure all required documentation and information are completed
- Governance & Process Management
  - Shepherd AI initiatives through established governance, risk, compliance, and approval processes
  - Ensure adherence to organizational AI policies, ethical standards, and regulatory requirements
  - Coordinate with legal, compliance, data governance, security, and technical teams as needed
  - Maintain visibility into the AI request pipeline, statuses, and decision points
- Strategic Alignment & Advisory
  - Assess AI opportunities against enterprise strategy, priorities, and value frameworks
  - Challenge and refine requests by asking critical questions regarding business value, scalability, and risk
  - Advise stakeholders on whether AI is the appropriate solution versus alternative approaches
  - Identify opportunities to consolidate, scale, or reprioritize AI initiatives
- Stakeholder Engagement
  - Act as a trusted advisor to business leaders, product owners, and technical teams
  - Translate between technical and non-technical stakeholders to ensure shared understanding
  - Facilitate discussions, workshops, and reviews to shape strong AI use cases
- Program Oversight & Continuous Improvement
  - Track AI initiatives from intake through approval and into execution handoff
  - Develop and maintain standardized intake frameworks, templates, and evaluation criteria
  - Identify trends, risks, and opportunities within the AI portfolio
  - Continuously improve AI governance processes and stakeholder experience

Required Qualifications

Bachelor's degree in Business, Technology, Data Science, or related field
5 years of experience in program management, strategy, consulting, or technology delivery
Demonstrated experience working with AI, machine learning, or advanced analytics initiatives
Strong understanding of AI concepts, capabilities, limitations, and risks (e.g., bias, data quality, model governance)
Experience with governance frameworks, risk management, or compliance processes

Key Skills & Competencies

Strategic Thinking: Ability to align AI initiatives with business goals and enterprise priorities
Critical Thinking: Comfortable challenging assumptions and asking difficult, high-impact questions
Program Management: Skilled in managing complex workflows, stakeholders, and decision processes
Communication: Exceptional ability to translate complex AI concepts into clear business language
Influence & Partnership: Builds trust and credibility across diverse stakeholder groups
Analytical Mindset: Evaluates use cases for feasibility, value, and risk

Preferred Qualifications

Experience establishing or operating within AI governance frameworks
Familiarity with responsible AI principles and regulatory considerations
Background in healthcare, finance, or other highly regulated industries
Certifications in project/program management (PMP, PgMP, Agile) or AI-related fields

Success Measures