Senior Director, AI Transformation & Value Creation

Dynata; United States; On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Discretionary incentive program

Medical benefits

Equal Opportunity Employer

Job summary

Dynata seeks a Senior Director, AI Transformation & Value Creation who will architect the enterprise AI transformation roadmap, prioritize high-value opportunities and drive measurable business value through AI deployments.

You will partner with IT, Product, Data Science and PMO, establish governance, KPIs and executive dashboards, and lead change in a data-driven, inclusive culture across the organization.

Qualifications

• 12+ years of leadership experience in transformation, strategy, technology, operations, analytics or consulting.
• Proven success leading enterprise-scale transformation programs.
• Experience with AI, GenAI, automation, advanced analytics or digital transformation.
• Strong executive communication, stakeholder management and financial acumen.
• Bachelor's degree required; MBA or advanced degree preferred.

Responsibilities

• Develop and execute the enterprise AI transformation roadmap.
• Identify and prioritize high-value AI opportunities aligned to strategic objectives and ROI.
• Create and manage an enterprise portfolio of AI initiatives.
• Advise executive leadership on AI investments, priorities and expected business outcomes.

Skills

Leadership

Transformation programs

Executive communication

Stakeholder management

Financial acumen

AI

GenAI

Automation

Analytics

Digital transformation

Education

Bachelor's degree

MBA or advanced degree

Job description

The Senior Director, AI Transformation & Value Creation has enterprise accountability for identifying, prioritizing and accelerating AI-enabled transformation initiatives that create measurable business value. This leader bridges strategy and execution, translating AI capabilities into revenue growth, productivity gains, operational efficiencies, improved decision making, compliance improvements and enhanced customer experiences. The role partners across the enterprise to drive AI adoption, governance, value realization and sustainable organizational change.

AI Strategy & Value Creation Leadership

• Develop and execute the enterprise AI transformation roadmap.
• Identify and prioritize high-value AI opportunities aligned to strategic objectives and ROI.
• Create and manage an enterprise portfolio of AI initiatives.
• Advise executive leadership on AI investments, priorities and expected business outcomes.

Enterprise Transformation Leadership

• Lead cross-functional AI and automation transformation programs.
• Partner with business leaders to redesign processes and operating models.
• Drive measurable value realization from AI investments.
• Establish accountability and governance across complex stakeholder groups.

AI Governance & Operating Model Leadership

• Develop and maintain enterprise AI governance frameworks.
• Define KPIs, value realization metrics and executive dashboards.
• Ensure responsible, secure and compliant AI deployment.
• Provide transparency into risks, outcomes and investment performance.

Technology, Innovation & Vendor Leadership

• Evaluate emerging AI technologies, platforms and vendor solutions.
• Partner with IT, Product, Data Science and PMO teams on implementation and scaling.
• Monitor market, research and martech innovations relevant to business strategy.
• Balance innovation, scalability, risk management and business value.

Business Partnership & Advisory Leadership

• Serve as a trusted advisor to executive leadership.
• Translate complex AI concepts into business-focused recommendations.
• Build business cases and prioritize enterprise opportunities.
• Influence across a matrixed organization without direct authority.

Change Leadership & Workforce Transformation

• Partner with HR and Learning & Development to build AI readiness.
• Lead adoption and change management strategies.
• Promote AI literacy and responsible innovation.
• Champion an AI-enabled, data-driven culture.

Key Accountabilities

• Business value realized from AI investments.
• Productivity and efficiency improvements.
• Revenue growth and customer experience enhancements.
• AI adoption and utilization levels.
• Strength of governance and compliance controls.
• Enterprise AI maturity and workforce readiness.

  Required Qualifications

  • 12+ years of leadership experience in transformation, strategy, technology, operations, analytics or consulting.
  • Proven success leading enterprise-scale transformation programs.
  • Experience with AI, GenAI, automation, advanced analytics or digital transformation.
  • Strong executive communication, stakeholder management and financial acumen.
  • Bachelor's degree required; MBA or advanced degree preferred.

  At Dynata, we deliver the highest quality first-party data to help businesses around the world gain precise insights, activate the right audiences, and confidently measure impact. With industry-leading respondent accuracy, reliability, and a commitment to continuous improvement, Dynata is the trusted foundation for smarter decision‑making.
  

  At Dynata, we are committed to creating an inclusive and accessible environment where every employee and customer feels valued, respected, and supported. We strive to build a workforce that reflects the diversity of the communities we serve. Dynata welcomes and encourages applications from individuals with disabilities and is dedicated to fostering a work culture that supports everyone. Accommodations are available upon request for all aspects of the selection process.

  Dynata is an Equal Opportunity Employer. We consider all qualified applicants and employees without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, marital status, age, disability, genetic information, veteran status, or any other legally protected status under applicable laws.

  The base salary range for this position in is $150K-$200K/yr; however, base pay offered may vary depending on location, job-related knowledge, skills, and experience. A discretionary incentive program may be provided as part of the compensation package, in addition to a full range of medical and other benefits, dependent on full‑time employment status.