Lead the transformation of our enterprise data environment by migrating from our legacy SQL Server data warehouse to a modern data platform, positioning the company for scale, performance, and data trust
Drive the transition from Tableau Server to Power BI as our standard visualization and analytics layer, including the rationalization of legacy dashboards and adoption of a governed semantic layer
Ensure the successful delivery and long-term integration of the ARR & Renewal Pool Data Product, working closely with our third-party partner to align architecture, prevent rework, enable trust, and increase business adoption
Own and evolve our data engineering, analytics engineering, and BI/reporting teams, ensuring the right structure, roles, and workflows to balance day to day support and strategic execution
Implement a predictable data product operating model, including intake, prioritization, SLAs, ceremonies, and communication rhythms that create transparency and confidence in delivery
Partner closely with Finance, Sales Operations, Customer Success, Product, and IT to ensure data quality, availability, and adoption across the business
Establish foundational data governance, quality management, and lifecycle practices, ensuring our data is accurate, secure, and trusted
Communicate clearly and consistently with executives — setting expectations, sequencing work, highlighting trade-offs, and providing status visibility throughout the modernization journey

Requirements

10+ years in Data & Analytics, including experience leading a data platform modernization initiative in a complex enterprise environment
Hands-on experience modernizing enterprise analytics stacks, including migrating from SQL Server to Snowflake, transitioning from Tableau to Power BI, and implementing governed semantic layers (e.g., dbt) to deliver trusted, scalable data products such as ARR and Renewal datasets
Proven success driving adoption of Power BI or a similar enterprise visualization platform, with an emphasis on Self-Service rather than Dashboard curation, at scale
Strong familiarity with modern Data Platform concepts, semantic modeling, and analytics platform architecture, with the ability to challenge technical assumptions and guide design decisions
Experience building or maturing data platforms, governance practices, semantic models, AI-enabled analytics and data product delivery frameworks
Track record of leading data engineering, analytics engineering, and BI/reporting teams, ideally in a distributed or global model
Demonstrated ability to partner with GTM, Finance, IT, and Executive leadership to align priorities and drive adoption

Benefits

Medical, dental, vision, life & disability, and financial benefits (including 401(k) retirement savings plan)
Tuition Reimbursement program
Additional voluntary benefits including crucial illness/hospital indemnity, identity theft protection, auto & home insurance, legal, and pet insurance
Competitive salary, bonus, and best-in-class Employee Stock Purchase Program (ESPP) with a 27-month lookback
Flexible paid vacation time, paid day off for your birthday, and company holidays
A variety of leave plans, including Parental Leave
Employee Assistance Program (EAP) and an employee well-being program focusing on physical, mental, and financial health

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data platform modernizationSQL ServerSnowflakePower BITableaudbtdata governancesemantic modelinganalytics platform architecturedata product delivery

Soft Skills

leadershipcommunicationcollaborationstrategic executionproblem-solvingstakeholder managementtransparencytrust buildingexpectation managementprioritization