Slalom is seeking an AI Strategist to lead the development and execution of AI-driven strategies that unlock value for their clients, acting as a trusted advisor to design scalable AI solutions aligned with clients' strategic goals.
Requirements
- Exposure to AI/ML technologies (e.g., supervised learning, generative AI, natural language processing) and platforms (Azure ML, AWS SageMaker, OpenAI, etc.).
- Strong understanding of both the technical and business aspects of AI.
- Familiarity with tools like Power BI, Python, or data modeling tools (nice to have, not required).
- Knowledge of ethical AI practices, risk frameworks, and global AI regulations.
Responsibilities
- Lead AI discovery sessions with clients to understand business challenges, assess AI readiness, and identify strategic opportunities.
- Design and deliver AI strategies and roadmaps aligned with clients' business goals, technical maturity, and industry trends.
- Identify, validate, and prioritize high-impact AI use cases across functional areas such as operations, customer experience, finance, and marketing.
- Work with data scientists, engineers, designers, and domain experts to translate strategic goals into implementable AI solutions.
- Keep clients informed of emerging trends in AI (e.g., LLMs, generative AI, autonomous agents, responsible AI) and assess their applicability.
- Develop client-facing content such as white papers, strategy presentations, and executive briefings on AI trends and opportunities.
- Advise clients on AI governance frameworks, responsible AI practices, and regulatory implications (e.g., AI Act, data privacy laws).
Other
- 5+ years of experience in consulting, strategy, or innovation roles, with 2+ years focused on AI or data-driven transformation.
- Proven track record in developing and executing AI strategies in a client-facing capacity.
- Exceptional communication and presentation skills, with the ability to engage senior stakeholders.
- Ability to simplify complex technical concepts for business leaders and decision-makers.
- Experience leading workshops and facilitating cross-functional collaboration.
- Experience in one or more industries (e.g., financial services, healthcare, manufacturing, public sector).
- Experience with AI operating models, change management, or digital transformation initiatives.
