Principal Data Strategist
ThoughtworksAbout the role
We're looking for a visionary and results-driven Principal to lead the Americas Offering Activation for our Artificial Intelligence services. In 2025, AI has moved far beyond foundational data & AI strategies, now encompassing sophisticated Machine Learning, the transformative power of Generative AI, and the emerging paradigm of Agentic AI.
This role is for a seasoned executive who can not only navigate this complex terrain but actively activate and capture market share by driving impactful AI-led transformations for our clients.
As an Offering Leader, you'll be instrumental in shaping our clients' futures, enabling them to leverage cutting-edge AI to unlock new revenue streams, optimize operations, and create differentiated customer experiences.
This role requires a unique blend of strategic acumen, deep technical understanding of the AI ecosystem, exceptional go-to-market leadership, and a proven track record of driving significant business growth through innovative data & AI solutions. You'll translate complex AI capabilities into tangible business value, foster an ecosystem of innovation, and position our firm as the premier partner for AI-driven transformation across the Americas.
Job responsibilities
Offering Activation & Market Growth
- Offering Activation & Market Growth
- Define, lead, and execute the offering activation strategy for our AI services across the Americas, identifying key market opportunities, client segments, and strategic partnerships.
- Develop and champion innovative AI service offerings and solutions that leverage Machine Learning, Generative AI, and Agentic AI to address critical client business challenges and create new market demand.
- Collaborate closely with client, and sales teams to develop compelling value propositions, and thought leadership that articulate our unique AI capabilities and impact for the client context.
- Drive aggressive revenue growth for the AI practice through new client acquisition, expansion of existing accounts, and strategic alliances.
Client Transformation & Value Realization
- Partner with C-level executives and senior business leaders to understand their strategic imperatives and co-create bespoke AI transformation roadmaps that align with their enterprise objectives.
- Lead the discovery, ideation, and design phases of complex AI programs, translating business requirements into technical architectures and implementation strategies across Machine Learning, Generative AI, and Agentic AI solutions.
- Provide expert advisory on the ethical implications, responsible deployment, and governance of advanced AI systems, ensuring compliance and building client trust.
- Guide clients through the organizational and cultural changes necessary to embrace and scale AI, fostering an AI-first mindset and establishing robust AI adoption frameworks.
- Oversee the successful delivery of high-impact AI engagements, ensuring client satisfaction, demonstrable ROI, and the continuous evolution of our service delivery capabilities.
Offering Leadership & Innovation
- Drive the creation of differentiated intellectual property, accelerators, and reusable assets related to AI strategy, implementation, and governance with our global AI teams.
- Stay at the forefront of AI advancements, particularly in areas like multi-modal AI, large language models (LLMs), autonomous agents, and AI-driven automation, integrating new capabilities into our offerings.
- Develop and nurture strategic partnerships with leading AI technology providers, research institutions, and industry associations to enhance our capabilities and market reach.
- Represent the firm's AI expertise in various internal and external forums, contributing to our global knowledge base and fostering cross-regional collaboration.
Job qualifications
- Extensive Consulting Leadership Experience: Over 15 years of progressive experience in a top-tier management consulting firm, with a significant focus on leading and growing Artificial Intelligence, Data, or Digital Transformation practices.
- Deep AI Domain Expertise: Demonstrated expertise across the full spectrum of AI, including:
- Machine Learning (ML): Proven experience in designing and implementing scalable ML solutions, covering various model types (e.g., supervised, unsupervised, reinforcement learning) and their application to business problems.
- Generative AI: Strong understanding and practical experience with large language models (LLMs), generative adversarial networks (GANs), and other generative AI techniques, including their application in content creation, code generation, and synthetic data.
- Agent
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