Associate Director, Global Sales Analytics Engineering - Business Decision Intelligence
$168,000–$268,800 year
On-siteConcord, North Carolina, United States
Job Summary
Lead the strategy, delivery, and continuous evolution of the commercial analytics semantic layer and business intelligence engineering function. Own the enterprise vision for how commercial sales data is modeled, governed, and consumed globally, building the team, operating model, and platform capabilities required to deliver trusted analytics at scale. Drive the transformation from reactive, dashboard-centric reporting to a proactive, AI-ready analytics model where governed data products and intelligent alerting replace static reports. Lead a team of analysts and senior individual contributors, setting performance expectations, developing talent, and managing hiring and workforce planning. Define and own the enterprise semantic layer strategy, establishing long-term vision for metric governance and serving as the ultimate authority on design trade-offs. Own the global self-service analytics operating model, defining standards, tooling, and governance processes to enable independent access to insights across all regions and business units.
Required Qualifications
- Bachelor's degree in Business Analytics, Information Systems, Computer Science, Data Science, or a related field
- Advanced degree
- Demonstrated experience leading or contributing to a transformation from reactive BI/reporting to proactive, AI-ready data products — including data product design, semantic layer modernization, or analytics platform re-architecture
- 8+ years of progressive experience in analytics, business intelligence, or data engineering, with demonstrated increasing scope and seniority
- 3+ years in a formal people leadership role, with experience managing analytics or data professionals across multiple levels (e.g., analysts, senior analysts, principal/staff ICs)
- Deep expertise in enterprise semantic layer design, governance, and platform strategy across one or more platforms (e.g., LookML/Looker, AtScale, dbt Metrics, Power BI Semantic Models, Microsoft Fabric)
- Proven track record owning and delivering enterprise-scale self-service analytics programs across multiple Business Units or Regions
- Advanced SQL skills and strong working knowledge of modern cloud data platforms (e.g., Snowflake, BigQuery, Databricks)
- Demonstrated experience as a thought leader in analytics — shaping platform strategy, metric governance frameworks, or BI architecture at an enterprise level
- Deep understanding of commercial sales data domains: revenue, pipeline/opportunity, forecasting, pricing/CPQ, territory/account planning, and commercial KPIs
- Strong executive communication and influence skills, with experience presenting to and advising senior business and commercial leaders
- Proven ability to operate in a matrixed, global organization — building alignment across data engineering, governance, finance, and commercial stakeholder communities
- Minimum of 4 days of in-office presence per week
Desired Qualifications
- Advanced degree strongly preferred
- Hands-on experience designing or consuming AI-ready data products, including familiarity with feature stores, ML pipeline data contracts, or model output visualization
- Experience defining and implementing enterprise metric frameworks, KPI registries, or commercial data glossaries at scale
- Hands-on experience across multiple semantic layer platforms, with the ability to advise on tool selection, migration strategy, and vendor partnerships
- Familiarity with AI/ML output visualization, model explainability dashboards, and decision intelligence use cases
- Experience in MedTech, Life Sciences, or similarly regulated and commercially complex environments
- Global experience leading analytics programs that serve multiple Regions and Business Units with shared, governed assets
- Experience building or scaling an analytics engineering practice — including hiring, capability development, and operating model design
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