Slalom Flex (Project Based) - Sr Data Strategist

About the role

At Slalom, personal connection meets global scale. Our vision is to enable a world in which everyone loves their work and life. We help organizations of all kinds redefine what’s possible, give shape to the future—and get there.

Responsibilities

• Act as the primary bridge between business strategy and technical execution, translating high-level priorities into scalable data solutions
• Define and evolve enterprise data strategy, aligning to innovation goals and enabling AI-driven capabilities
• Prioritize initiatives, shape roadmap decisions, and build a long-term data vision
• Establish and mature a data-as-a-product operating model, turning enterprise data into reusable, high-value business assets
• Lead the design and guidance of end-to-end data ecosystems across modern cloud platforms (AWS)
• Provide architectural oversight and direction to internal engineering teams, ensuring alignment with best practices and long-term scalability
• Drive adoption of modern data architectures to support advanced analytics and AI-enabled innovation
• Build and evolve data governance frameworks, including ownership models, data quality standards, metadata strategy, and lifecycle management
• Navigate complex and evolving environments, influencing alignment across business, product, and IT teams (including global stakeholders)
• Serve as a trusted advisor to both business and technical leaders, fostering strong partnerships and reducing friction across organizations
• Develop strategic roadmaps, operating models, and phased transformation plans to establish foundational data capabilities
• Help define and shape future-state team structures, staffing models, and capability needs for the data organization

Requirements

• 10+ years of experience in data strategy, data architecture, or enterprise data leadership roles
• Proven ability to define and implement enterprise data strategies in complex, multi-stakeholder environments
• Strong expertise in modern data ecosystems, including experience with AWS-based platforms and tools such as Databricks
• Experience designing and guiding implementation of end-to-end data platforms and data product ecosystems
• Deep understanding of modern data architecture principles supporting advanced analytics and AI/ML use cases
• Demonstrated experience establishing data governance frameworks (data ownership, quality, metadata, lifecycle management)
• Track record of developing operating models, roadmaps, and transformation strategies for enterprise data organizations
• Strong executive presence with the ability to influence, align, and communicate effectively across technical and non-technical audiences
• Experience working in ambiguous, evolving environments and driving clarity across business and technical teams
• Experience working with tools across the modern data stack (e.g., Databricks, Snowflake, dbt, BI/visualization tools)

Qualifications

• Master's degree in Computer Science, Data Science, Information Systems, or related field
• Professional certifications in data architecture, data science, or similar fields (e.g., Certified Data Management Professional, Certified Data Scientist)

Skills

• Data strategy and architecture
• Enterprise data management
• AI and machine learning integration
• Cloud platform management (AWS)
• Data governance and quality
• Business partnership and stakeholder management
• Modern data stack tools (Databricks, Snowflake, dbt, BI/visualization tools)

Benefits

Slalom offers a comprehensive benefits package including:

• Meaningful time off and paid holidays
• Paid parental leave
• 401(k) with a match
• Subsidized health, dental, and vision coverage
• Educational assistance programs
• Discounted home, auto, and pet insurance
• Well-being reimbursement account

Pay

The targeted pay range for X is $90 to $100/hr. Actual compensation will depend upon an individual’s skills, experience, qualifications, location, and other relevant factors.

Schedule

Flexible schedule to accommodate remote work and occasional onsite meetings.