AI Transformation Program Manager (R-19993)
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Summary
Senior program leader who defines and drives Dun & Bradstreet's enterprise-wide AI transformation strategy, governance framework, and operating model. Day to day: advising executives, overseeing the AI transformation portfolio, and enabling responsible adoption of generative AI, machine learning, and automation across the business.
Shape the Future with Dun & Bradstreet
At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at .
The AI Transformation Program Manager is responsible for shaping and advancing the company's long-term vision, strategy, governance framework, and operating model for responsible internal AI adoption and value realization.
The role works closely with executive leadership to identify enterprise-wide transformation opportunities, influence business strategy, establish AI-enabled operating models, and drive sustainable competitive advantage through responsible AI innovation.
It leads the most complex, cross-functional, and business-critical transformation initiatives while establishing organizational capabilities, governance standards, adoption frameworks, and value measurement methodologies used across the enterprise.
As a recognized subject matter expert, this role influences executive decision-making, industry best practices, and enterprise investment priorities while ensuring AI initiatives align with corporate objectives, risk management requirements, regulatory expectations, and long-term business outcomes.
Essential Responsibilities:
- Define and continuously evolve the enterprise-wide vision, transformation strategy, and multi-year roadmap for responsible AI adoption and business transformation.
- Partner with executive leadership to identify strategic opportunities where AI can fundamentally improve operating models, productivity, decision-making, customer outcomes, and enterprise value creation.
- Serve as the principal advisor to senior executives on AI transformation opportunities, risks, industry trends, governance considerations, and investment priorities.
- Establish enterprise-wide transformation frameworks, operating models, governance processes, and portfolio management methodologies that guide AI adoption across all business functions.
- Oversee the enterprise AI transformation portfolio, ensuring prioritization and investment decisions align with corporate strategy, expected value, organizational readiness, and risk tolerance.
- Sponsor and guide the most complex, high-impact, and strategically significant AI transformation initiatives across the organization.
- Establish standardized approaches for business case evaluation, value realization measurement, prioritization, scalability assessment, and benefits tracking.
- Establish and continuously enhance enterprise policies, governance structures, standards, and accountability frameworks for responsible AI adoption.
- Lead executive and enterprise governance forums responsible for oversight of AI strategy, investment decisions, risks, compliance, and transformation outcomes.
- Foster an AI-enabled culture that promotes innovation, experimentation, responsible usage, and continuous learning. Influence senior leaders and business stakeholders to integrate AI transformation objectives into strategic planning and operational execution.
- Serve as a visible enterprise champion for AI transformation and organizational change.
- Evaluate strategic partnerships, vendor ecosystems, and innovation opportunities that can accelerate enterprise transformation goals.
- Provide executive leadership with ongoing insights, strategic recommendations, risk assessments, and portfolio performance reporting. Lead resolution of enterprise-level risks, dependencies, conflicts, and organizational barriers affecting transformation success.
Essential Skills Needed:
- 15+ years of experience leading enterprise transformation, technology strategy, AI innovation, digital transformation, operating model design, or business transformation programs.
- Demonstrated success defining and leading enterprise-wide AI strategies and large-scale transformation portfolios in global organizations.
- Deep expertise in generative AI, intelligent automation, machine learning, enterprise governance, AI operating models, and responsible AI frameworks.
- Experience advising executive leadership and influencing strategic business decisions involving substantial organizational investment and change.
- Proven ability to establish enterprise governance models, transformation offices, centers of excellence, and sustainable adoption frameworks.
- Strong knowledge of evolving AI regulatory environments, privacy requirements, governance frameworks, and risk management practices.
- Exceptional executive communication, organizational influence, strategic thinking, and stakeholder management skills.
- Demonstrated industry recognition or thought leadership in AI transformation, enterprise strategy, digital innovation, or related disciplines preferred.
- Show an ownership mindset in everything you do. Be a problem solver, be curious and be inspired to take action.
- Be proactive, seek ways to collaborate and connect with people and teams in support of driving success.
- Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and programs.
- Where applicable, fluency in English and languages relevant to the working market.
- Proficiency in Microsoft Office Suite skills
Education:
- Bachelor’s degree in Business, Computer Science, Data Science, Engineering, Information Systems, Organizational Development, or a related field required is required.
- Advanced degree is preferred.
Benefits We Offer
· Generous paid time off in your first year, increasing with tenure.
· Up to 16 weeks 100% paid parental leave after one year of employment.
· Paid sick time to care for yourself or family members.
· Education assistance and extensive training resources.
· Do Good Program: Paid volunteer days & donation matching.
· Competitive 401k with company matching.
· Health & wellness benefits, including discounted Wellhub membership rates.
· Medical, dental & vision insurance for you, spouse/partner & dependents.
All Dun & Bradstreet job postings can be found at . Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.
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Equal Employment Opportunity (EEO): Dun & Bradstreet provides equal employment opportunities to applicants and employees without regard to race, color, religion, creed, sex, age, national origin, citizenship status, disability status, sexual orientation, gender identity or expression, pregnancy, genetic information, protected military and veteran status, ancestry, marital status, medical condition (cancer and genetic characteristics) or any other characteristic protected by law. Know Your Rights: Workplace Discrimination is Illegal - The current poster can be found here. We participate in E-Verify - The current poster can be found here.
Accommodations information for applicants with disabilities: Dun & Bradstreet is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with Dun & Bradstreet, please send an e-mail to AcquisitionT@dnb.com to let us know the nature of your accommodation request and your contact information.
Skills
As published by lever · 19 questions
Basics
Resume/CV, Full name, Pronouns, Email, Phone, Current location, Current company, LinkedIn URL, GitHub URL, Portfolio URL, Twitter URL, Other website
Short answers (8)
- If you have a family member or relative currently employed by Dun & Bradstreet, please list their name(s): optional
- If you were referred by a Dun & Bradstreet employee, please list their name: optional
- Legal First Name, if an offer is extended:
- Legal Last Name, if an offer is extended:
- Street address, City, and Zip code, if an offer is extended:
- If you have been employed by KPMG, please share your functional area(s) and approximate dates of employment. optional
- Optional: If you have relevant certification(s) and/or licensure(s), you may list them here. optional
- Please provide your salary expectations:
Pick from a list (11)
- Are you a current or previous employee of Dun & Bradstreet?
- Do you have a family member or relative who is currently employed by Dun & Bradstreet?
- Did a current Dun & Bradstreet employee influence you to apply or refer you to the company/role?
- Are you 18 or older?
- Are you eligible to work in the USA?
- Will you require any type of sponsorship now or in the future?
- If hired, from which US state or territory would you work? optional
- I am willing and able to work a hybrid schedule at the office location listed in this job posting.
- This hybrid role requires being in the office on a regular basis. What is your ideal number of days onsite?
- Are you a current or former employee of KPMG?
- Most recent formal education: