| Location | Louisville, KY |
Purpose of The Job
Own and integrate digital analytics, experimentation, business intelligence, data engineering, and the Databricks Lakehouse into a single enterprise-grade decision platform for KFC US. Evolve that platform to deliver governed self-service analytics and natural-language insight experiences through Databricks AI/BI and Genie AI, including secure Microsoft Teams access where appropriate. This role is accountable for trusted restaurant, operational, financial, customer, and franchise reporting; certified metrics and semantic models; and the productionization of advanced analytics and AI use cases such as recommended ordering, restaurant-level forecasts, cook projections, demand signals, promotion analysis, and customer intelligence. The mandate: one measurement backbone, consistent definitions, AI-ready production pipelines, responsible-AI controls, and insight experiences-dashboards, narratives, agents, and natural-language queries-that improve digital growth, restaurant performance, franchise confidence, and profitable decision-making.
Knowledge and Skill Required
Must-Haves
Nice-to-Haves
Salary Range: $195,200 to $215,000 annually + bonus eligibility and stock-based compensation. This is the expected salary range for this position. Ultimately, in determining pay, we''ll consider the successful candidate's location, experience, and other job-related factors.
Job Responsibilities
Digital Analytics, Experimentation & Experience Intelligence
Own digital product analytics, session replay, and experimentation platforms end-to-end (roadmap, governance, adoption, and value realization).
Accountable for Amplitude (or equivalent), including event taxonomy, identity resolution, metric trees, permissions, and budget.
Lead the Experimentation Center of Excellence across digital, CRM, and on-platform experiences, including intake, prioritization, design QA, statistical guardrails, and results arbitration.
Operationalize digital experience signals (rage clicks, errors, latency, funnel drop-offs) into engineering and product triage with quantified business impact.
Enterprise BI & Reporting (Restaurant, Ops, Finance, Franchise)
Own the end-to-end BI strategy for restaurant system, operational, financial, and franchise reporting across corporate and franchise audiences.
Define and govern KPIs and scorecards for sales, transactions, digital mix, margin, labor, service, uptime, refunds, guest recovery, and marketplace performance.
Ensure consistent metric definitions and reconciliations across digital, finance, operations, and franchise reporting.
Deliver executive, finance, operator, and franchise-ready dashboards with clear narratives, comparability, and trust.
Establish service levels for data freshness, accuracy, and availability aligned to operational and financial close rhythms.
Data Engineering & Analytics Architecture
Own analytics data engineering for digital, restaurant, and enterprise data domains, including ingestion, transformation, and semantic modeling.
Partner with Enterprise Data, Finance, and Operations to design scalable pipelines from POS, kiosks, aggregators, loyalty, CRM, payments, and back-office systems.
Establish source-of-truth tables, dimensional models, and certified datasets that power BI, analytics, experimentation, and AI use cases.
Define data quality SLAs, automated validation, monitoring, and incident response for analytics pipelines.
Ensure analytics architecture supports privacy-by-design, franchise segmentation, and secure data sharing.
Databricks Lakehouse, AI/BI & Genie AI
Own the Databricks analytics roadmap and operating model, including workspace strategy, Unity Catalog, certified datasets, semantic models, Databricks metrics, AI/BI dashboards, and Genie spaces.
Design and govern Genie AI experiences that translate natural-language questions into trusted insights, with clear data attribution, model and schema context, benchmarks, monitoring, permissions, and appropriate human review.
Establish boundaries and control sets for enterprise AI assistants, limiting access to approved domains and certified datasets while preventing unsupported causal claims.
Lead pilots and scale-up plans for restaurant, digital sales, market-basket, customer, promotion, labor, waste, and operational intelligence use cases.
Enable governed access to Genie through collaboration channels such as Microsoft Teams, and use query logs and user feedback to improve semantic models and adoption.
Manage Databricks and implementation partners through business cases, proofs of concept, capacity planning, commercial negotiation, delivery governance, and measurable value realization.
Franchise Reporting & Trust
Serve as the single accountable owner for franchise-facing analytics and reporting experiences.
Ensure transparency, explainability, and consistency between corporate and franchise views of performance.
Partner with Franchise Ops and Finance to evolve reporting based on operator needs and field feedback.
Leadership, Governance & Vendor Management
Lead and develop a multidisciplinary team spanning digital analytics, BI, and data engineering.
Establish communities of practice for analytics, experimentation, and data engineering standards.
Manage analytics, BI, and data platform vendors, including renewals, roadmaps, and ROI.
Ensure compliance with data privacy, security, and regulatory standards (e.g., CCPA/CPRA, GDPR where applicable).
Create cross-functional guilds and communities of practice that share Databricks and Genie AI learnings, accelerate reusable patterns, and raise data and AI fluency across KFC US.
Translate analytical findings into operational decisions, executive narratives, prioritized roadmaps, and accountable action plans.
Anticipate resource, data, integration, and vendor constraints; structure pragmatic proofs of concept and partner options that validate value before scaling.
Guide customer data platform strategy and modernization, including evaluation of emerging Databricks Customer Lake capabilities and migration of customer intelligence workloads into durable enterprise platforms.
Working Relationships
Supervision of Personnel
Exempt - 3
Non-Exempt - 0
Job Responsibilities
Digital Analytics, Experimentation & Experience Intelligence
Own digital product analytics, session replay, and experimentation platforms end-to-end (roadmap, governance, adoption, and value realization).
Accountable for Amplitude (or equivalent), including event taxonomy, identity resolution, metric trees, permissions, and budget.
Lead the Experimentation Center of Excellence across digital, CRM, and on-platform experiences, including intake, prioritization, design QA, statistical guardrails, and results arbitration.
Operationalize digital experience signals (rage clicks, errors, latency, funnel drop-offs) into engineering and product triage with quantified business impact.
Enterprise BI & Reporting (Restaurant, Ops, Finance, Franchise)
Own the end-to-end BI strategy for restaurant system, operational, financial, and franchise reporting across corporate and franchise audiences.
Define and govern KPIs and scorecards for sales, transactions, digital mix, margin, labor, service, uptime, refunds, guest recovery, and marketplace performance.
Ensure consistent metric definitions and reconciliations across digital, finance, operations, and franchise reporting.
Deliver executive, finance, operator, and franchise-ready dashboards with clear narratives, comparability, and trust.
Establish service levels for data freshness, accuracy, and availability aligned to operational and financial close rhythms.
Data Engineering & Analytics Architecture
Own analytics data engineering for digital, restaurant, and enterprise data domains, including ingestion, transformation, and semantic modeling.
Partner with Enterprise Data, Finance, and Operations to design scalable pipelines from POS, kiosks, aggregators, loyalty, CRM, payments, and back-office systems.
Establish source-of-truth tables, dimensional models, and certified datasets that power BI, analytics, experimentation, and AI use cases.
Define data quality SLAs, automated validation, monitoring, and incident response for analytics pipelines.
Ensure analytics architecture supports privacy-by-design, franchise segmentation, and secure data sharing.
Databricks Lakehouse, AI/BI & Genie AI
Own the Databricks analytics roadmap and operating model, including workspace strategy, Unity Catalog, certified datasets, semantic models, Databricks metrics, AI/BI dashboards, and Genie spaces.
Design and govern Genie AI experiences that translate natural-language questions into trusted insights, with clear data attribution, model and schema context, benchmarks, monitoring, permissions, and appropriate human review.
Establish boundaries and control sets for enterprise AI assistants, limiting access to approved domains and certified datasets while preventing unsupported causal claims.
Lead pilots and scale-up plans for restaurant, digital sales, market-basket, customer, promotion, labor, waste, and operational intelligence use cases.
Enable governed access to Genie through collaboration channels such as Microsoft Teams, and use query logs and user feedback to improve semantic models and adoption.
Manage Databricks and implementation partners through business cases, proofs of concept, capacity planning, commercial negotiation, delivery governance, and measurable value realization.
Franchise Reporting & Trust
Serve as the single accountable owner for franchise-facing analytics and reporting experiences.
Ensure transparency, explainability, and consistency between corporate and franchise views of performance.
Partner with Franchise Ops and Finance to evolve reporting based on operator needs and field feedback.
Leadership, Governance & Vendor Management
Lead and develop a multidisciplinary team spanning digital analytics, BI, and data engineering.
Establish communities of practice for analytics, experimentation, and data engineering standards.
Manage analytics, BI, and data platform vendors, including renewals, roadmaps, and ROI.
Ensure compliance with data privacy, security, and regulatory standards (e.g., CCPA/CPRA, GDPR where applicable).
Create cross-functional guilds and communities of practice that share Databricks and Genie AI learnings, accelerate reusable patterns, and raise data and AI fluency across KFC US.
Translate analytical findings into operational decisions, executive narratives, prioritized roadmaps, and accountable action plans.
Anticipate resource, data, integration, and vendor constraints; structure pragmatic proofs of concept and partner options that validate value before scaling.
Guide customer data platform strategy and modernization, including evaluation of emerging Databricks Customer Lake capabilities and migration of customer intelligence workloads into durable enterprise platforms.
Working Relationships
Supervision of Personnel
Exempt - 3
Non-Exempt - 0