Data Strategist
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Job Description
Data Strategist shaping AI and data transformation strategies at Method, a global design and engineering consultancy. Bridging business objectives, data systems, machine learning, and emerging AI capabilities.
Responsibilities:
- Work with multidisciplinary teams through complex projects to inform product direction
- Identify opportunities where data, ML, and AI can create business value
- Refine opportunities and use cases using business objectives and customer needs with measurable outcomes
- Evaluate current-state data and technology landscapes, including data capture, storage, governance, and consumption
- Maintain expertise across traditional ML, generative AI, and agentic systems
- Develop data, AI, and technology transformation strategies
- Create capability maps, dependency maps, and transformation roadmaps
- Define experiments, prototypes, and proof-of-concepts to reduce uncertainty
- Communicate technical concepts and architectural tradeoffs to executives and business stakeholders
- Translate business objectives, constraints, and outcomes to technical teams
Requirements:
- Experience in business strategy, digital transformation, product strategy, technology strategy, or a related discipline
- Experience in evaluating AI applications, identifying risks, and uncovering opportunities for enhancement
- Strong understanding of modern data systems supporting business processes and analytical or AI capabilities
- Working knowledge of machine learning concepts and the ML development lifecycle
- Ability to prototype and create working proof-of-concept demonstrations with working code and systems integration
- Ability to evaluate technical proposals and work directly with engineers, data scientists, architects, product teams, and business leaders
- Strong analytical and problem-solving skills
- Excellent written, verbal, and presentation skills
- Ability to operate in a fast-moving environment and comfort with ambiguity and uncertainty
- Technical fluency in relational databases, data warehouses, data lakes, data models and schemas, ETL/ELT, cloud data platforms, business intelligence and analytics platforms, ML workflows, generative AI, AI agents, data security, privacy, and governance
- Comfort creating functional prototypes in Python and JavaScript
Benefits:
- Continuing education opportunities
- Flexible PTO and work-from-home policies
- Pension
- Health and dental benefits
- Company lunches
- Company outings
- Snacks
- Health and wellness programs
- Other location specific perks
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