Manager, Data & AI Strategy

Own end-to-end delivery of client engagements, ensuring high-quality, on-time outcomes

Serve as the primary point of contact and face of the engagement

Build strong, trust-based relationships and act as a true partner to client stakeholders across business and technical teams

Identify gaps between business ambition and current data/AI capabilities, and clearly articulate implications and risks

Design and lead client workshops across AI strategy, use case prioritization, governance, and operating model design

Craft and deliver compelling, executive-level narratives that guide stakeholders from problem definition through to clear actions and outcomes

Drive discussions that lead to alignment, decisions, and commitment to action

Present and defend strategic recommendations to client stakeholders

Challenge assumptions and guide clients toward pragmatic, value-driven decisions

Advise on AI governance, responsible AI practices, and risk management approaches, including model oversight, policy design, and compliance considerations

Translate ambiguous client needs into structured problem statements, rigorous workplans, and high-impact deliverables

Lead the creation and delivery of comprehensive strategic artifacts, including: Maturity assessments, gap analyses, and actionable recommendations Use case inventories and solution roadmaps Data/AI operating models, governance frameworks, and prototype concepts

Maturity assessments, gap analyses, and actionable recommendations

Use case inventories and solution roadmaps

Data/AI operating models, governance frameworks, and prototype concepts

Distinguish between foundational investments and advanced AI initiatives to ensure pragmatic sequencing, realistic phasing, and sustainable adoption

Guarantee that all final outputs are highly actionable, prioritized, and explicitly aligned to measurable business value

Lead identification and prioritization of AI and data use cases aligned to business objectives

Define evaluation frameworks (value, feasibility, data readiness, risk)

Drive the creation of lightweight demonstrations, prototypes, and proofs-of-concept to bring data and AI solutions to life

Partner with engineering and technical teams to develop and refine prototypes of data and AI solutions

Use prototypes and demos to inform decision-making, de-risk initiatives, and strengthen client confidence

Direct and mentor Consultants, providing clear guidance, feedback, and coaching

Structure workplans, allocate resources, and manage timelines and deliverables

Review and elevate outputs to ensure quality, clarity, and consistency

Foster a high-performance, accountable team environment

Contribute to the evolution of Data & AI advisory frameworks, methodologies, and accelerators

Develop reusable assets and structured approaches that improve delivery consistency and speed

Monitor emerging trends (e.g., Generative AI, Agentic AI, data platforms) and incorporate relevant advancements into engagements

Help shape the practice’s point of view and ways of working

Support business development efforts, including proposals, SOWs, and client presentations

Own identification and progression of expansion opportunities within active engagements

Translate client needs and workshop outcomes into follow-on initiatives and multi-phase programs

Partner with senior leadership to position and scope expansion opportunities

Awareness of cloud platforms (Azure, AWS, GCP), data pipelines (ETL/ELT, APIs), and analytics/BI tools

Understanding of data and AI governance concepts, including policy, risk, and compliance

Understanding of how data and AI systems integrate within enterprise environments (no coding required)

Own and deliver high-quality client engagements from end-to-end with minimal oversight and exceptional execution

Serve as a trusted advisor and strategic partner to clients, moving beyond a traditional transactional consulting relationship

Lead high-impact workshops and stakeholder discussions that drive clear, decisive outcomes and forward momentum

Translate complex, ambiguous client challenges into structured, actionable data and AI strategies and roadmaps

Mentor and develop Consultants, actively coaching them into stronger, more effective practitioners

Contribute to the firm's growth by creating reusable assets and strengthening overall practice capabilities

Successfully foster long-term client relationships, naturally converting initial engagements into follow-on work and expanded accounts

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