Vice President – Data & AI Strategy (m/f/d) in München

An international consultancy is seeking a Vice President to shape and grow its Data & AI Strategy offering within the Technology Strategy practice. The role combines executive advisory, transformation leadership, team development and commercial responsibility, helping clients turn technology investment into measurable business value.

Your responsibilities

• Shape the strategic direction and growth of the Data & AI Strategy offering, working closely with the senior leadership team.
• Advise C-suite executives on how data and AI can improve competitive positioning, accelerate growth and increase operational effectiveness.
• Lead complex advisory engagements covering data and AI strategy, technology transformation, target operating models, governance and organisational readiness.
• Assess clients' data and AI maturity, identify value creation opportunities and develop prioritised use-case portfolios, investment cases and transformation roadmaps.
• Guide strategic decisions around technology capabilities, platform selection, sourcing, partnerships and build-versus-buy options.
• Help clients establish effective data ownership, AI governance, responsible AI principles and the capabilities required to scale adoption.
• Translate strategic recommendations into clear investment priorities, delivery plans, accountability and measurable business outcomes.
• Oversee the engagement portfolio, taking responsibility for delivery quality, resourcing, budgets, profitability and client satisfaction.
• Build senior client relationships, lead proposals and pitches, and develop new and existing accounts.
• Recruit, coach and develop managers and consultants, strengthening the practice's leadership capability.
• Develop differentiated propositions, methodologies and thought leadership across technology, data and AI strategy.

Your experience

• Significant experience in technology strategy, data and AI advisory or transformation consulting, with a strong record of senior client leadership.
• Proven ability to lead complex engagements from strategic assessment through to transformation planning and execution oversight.
• Strong understanding of enterprise data strategy, AI adoption, technology landscapes, governance and operating models.
• Experience connecting data and AI investment to commercial priorities, supported by credible business cases and measurable outcomes.
• Confidence advising C-suite stakeholders, challenging assumptions and guiding complex investment decisions.
• Demonstrated success in business development, account growth and shaping compelling consulting propositions.
• Experience building and leading high-performing teams, with responsibility for engagement economics and delivery standards.
• An entrepreneurial mindset, sound commercial judgement and a pragmatic approach to transformation.
• A degree in business, technology, computer science or a related discipline; a postgraduate qualification is advantageous.
• Fluency in English; additional languages are advantageous.

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