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About the role

  • 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

Job title

Job type

Full Time

Experience level

Mid levelSenior

Salary

$165,000 - $225,000 per year

Degree requirement

No Education Requirement

Tech skills

CloudETLJavaScriptPython

Location requirements

RemoteUnited States

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