Principal Commercial Analytics Engineer - Business Decision Intelligence
$154,100–$246,600 year
On-siteConcord, North Carolina, United States
Job Summary
Define and drive the enterprise semantic layer strategy for commercial analytics, establishing the long-term vision for how business metrics, dimensions, and hierarchies are governed and consumed globally. Own the global self-service analytics strategy, defining the operating model and tooling standards that allow commercial users across all Regions and Business Units to access governed insights independently. Lead the design of modular, reusable analytics asset libraries that eliminate bespoke reporting and accelerate insight delivery while resolving escalated metric conflicts to establish single sources of truth for key commercial KPIs. Define UX/UI standards for the commercial analytics interface, ensuring dashboards are intuitive, performant, and aligned to user needs at all levels of the organization. Define and drive the enterprise strategy for agentic AI integration within the commercial analytics platform, establishing the vision for how AI agents consume and augment governed semantic layer assets. Mentor JG3 and JG4 analysts in agentic AI development and training practices, fostering a culture of responsible, governed AI adoption within the commercial analytics team. Represent the analytics function in senior cross-functional forums on data product strategy, analytics governance, and self-service enablement at scale.
Required Qualifications
- Bachelor's degree in Business Analytics, Information Systems, Computer Science, Data Science, or a related field
- 6+ years of progressive experience in analytics, business intelligence, or data analysis, with increasing scope and seniority
- Deep expertise in enterprise semantic layer design and governance across one or more platforms (e.g., LookML/Looker, AtScale, dbt Metrics, Power BI Semantic Models, Microsoft Fabric)
- Proven track record driving enterprise-scale self-service analytics programs across multiple Business Units or Regions
- Advanced SQL skills and strong working knowledge of cloud data platforms (e.g., Snowflake, BigQuery, Databricks)
- Demonstrated experience as a thought leader in analytics — shaping platform strategy, metric standards, or BI architecture direction
- Deep understanding of commercial data domains: revenue, pipeline/opportunity, forecasting, pricing/CPQ, territory/account planning, and commercial KPIs
- Strong executive communication and stakeholder influence skills, with experience presenting to and advising senior business leaders
- Experience partnering with data governance, data engineering, and decision science functions in a matrixed, global organization
- Minimum of 4 days of in-office presence per week
Desired Qualifications
- Advanced degree
- Experience defining and implementing enterprise metric frameworks, KPI registries, or commercial data glossaries
- Hands-on experience with multiple semantic layer platforms and the ability to advise on tool selection and migration
- Familiarity with AI/ML output visualization, model explainability dashboards, and decision intelligence use cases
- Experience in MedTech, Life Sciences, or similarly regulated and complex commercial environments
- Global experience leading analytics programs that serve multiple Regions and Business Units with shared assets
- Prior experience in a principal, staff, or lead analyst role with informal or formal people leadership responsibilities
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.