Key Responsibilities
Strategy and Executive Advisory
- Define and lead enterprise AI and agentic AI transformation strategies linked to priority business outcomes.
- Advise executive stakeholders on AI-enabled operating models, leadership choices, capability building, and human-AI collaboration.
- Translate enterprise ambition into a sequenced transformation portfolio, investment roadmap, and governance model.
- Build senior stakeholder alignment across business, operations, data, technology, risk, and change functions.
Adoption, Impact and Value Realization
- Own the overall adoption and value-realization agenda while ensuring clear accountability between the transformation team and business owners.
- Establish outcome, adoption, productivity, quality, and user-experience measures; use evidence to steer executive decisions.
- Sponsor deep-dive analyses to identify performance drivers, adoption barriers, and opportunities for scaled impact.
- Guide the transition from experimentation to repeatable, enterprise-scale deployment and sustained business ownership.
Portfolio and Continuous Improvement Leadership
- Oversee the pipeline of improvement opportunities and new releases, prioritizing initiatives by strategic alignment, business value, feasibility, and risk.
- Ensure user feedback, operational data, and stakeholder insights are converted into actionable improvement and release roadmaps.
Consulting Partner | Job Description AI TRANSFORMATION & AGENTIC OPERATIONS
- Chair governance forums that align scope, funding, dependencies, timelines, and benefits across stakeholders.
- Ensure responsible AI, control, and organizational readiness considerations are embedded in transformation decisions.
Client and Practice Leadership
- Lead complex consulting engagements and maintain trusted relationships with C-suite and senior business leaders.
- Shape propositions, business cases, and executive narratives for AI transformation, adoption, and capability building.
- Lead multidisciplinary teams of adoption leads, business analysts, technical integrators, product specialists, and change professionals.
- Coach senior consultants and contribute thought leadership, methods, reusable assets, and market development.
Required Skills & Capabilities
- Executive-level stakeholder management and trusted-advisor capability.
- Enterprise AI strategy, transformation leadership, and operating model design.
- Adoption, organizational change, capability building, and leadership enablement.
- Business value articulation, business-case development, portfolio prioritization, and benefits realization.
- Strong understanding of agentic AI, generative AI, data and analytics, automation, AI governance, and responsible AI.
- Ability to connect business strategy, process redesign, technology feasibility, and people implications.
- Commercial acumen, consulting leadership, facilitation, influencing, and negotiation.
- Analytical and hypothesis-driven problem solving, with confidence interpreting performance and adoption evidence.
Experience & Qualifications
- Typically 18+ years in consulting, data and AI transformation, digital transformation, or related business leadership roles.
- Demonstrated experience leading large, multi-stakeholder transformation programs and advising senior executives.
- Track record of moving AI or analytics initiatives from strategy and experimentation to adoption and measurable impact.
- Experience leading multidisciplinary teams and shaping transformation portfolios, proposals, or strategic business cases.
- Bachelor's or master's degree in business, technology, engineering, mathematics, data/analytics, or a related discipline.
Measures of Success
- Executive alignment and clarity of transformation direction.
- Adoption and sustained use of AI-enabled capabilities across target business areas.
- Realization of agreed business outcomes and transparent tracking of benefits.
- Quality and prioritization of the AI transformation and continuous-improvement portfolio.
- Strength of client relationships, team capability, and repeatable consulting assets.