Description and Requirements

Job Description

Location: Local to Portland, OR required - 3-4 days onsite wkly

What You'll Do

• 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
• Partner with executive stakeholders to 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

What You'll Bring

• 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
• Background in data productization and enabling data-as-a-product approaches across the enterprise
• Strong stakeholder management skills with the ability to build trust across business units and IT organizations
• Experience working with tools across the modern data stack (e.g., Databricks, Snowflake, dbt, BI/visualization tools)

Compensation and Benefits

Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance.

Slalom is committed to fair and equitable compensation practices. 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. The salary pay range is subject to change and may be modified at any time.

We will accept applicants until 6/30/26 or until the position is filled.

We are committed to pay transparency and compliance with applicable laws. If you have questions or concerns about the pay range or other compensation information in this posting, please contact us at: [redacted]. Please note, this recipient is not able to support recruitment inquiries beyond this purpose.