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.
Numbers & Facts
Location
San Francisco, CA (Remote)
Salary
$65–$70 Per Hour
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
Quality and completeness of AI intake submissions
Alignment of AI initiatives with strategic priorities
Efficiency and transparency of governance processes
Stakeholder satisfaction and engagement
Reduction in redundant or low-value AI efforts
Required Skills (top 3 non-negotiables)
AI program management
Practical AI literacy and risk awareness
Strategic stakeholder communication
Preferred Skills (nice to have)
AI governance framework experience
Responsible AI and regulatory knowledge
Experience in highly regulated industries
Disqualifiers/ Dislikes on Resumes
No AI/ML/advanced analytics exposure
No program management, strategy, consulting, or technology delivery experience
No governance, risk, or compliance experience
Weak stakeholder communication
A purely technical profile without strategic/business partnership experience