Yum!
Director of Enterprise Intelligence
- Compensation
- $195.2K–$215K / yr
- Location
- United States
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 6+ years
- Category
- Not specified
- Posted
Skills
Must have
- 12+ years in analytics, BI, data engineering, or applied decision science, with 6+ years leading enterprise teams and platforms.
- Proven ownership of production BI, analytics, and data platforms supporting operational, financial, and franchise reporting at scale.
- Strong experience with digital analytics and experimentation platforms (e.g., Amplitude or equivalent), including metric trees and causal measurement.
- Deep SQL expertise; strong understanding of data modeling, pipelines, analytics engineering, and semantic layers.
- Demonstrated ability to establish and govern KPIs across digital, finance, operations, and franchise contexts.
- Experience partnering with applied AI / data science teams to productionize models into business workflows.
- Familiarity with LLM- and natural-language–based analytics patterns, including metric grounding, explainability, and guardrails over certified datasets.
- Executive-, operator-, and franchise-level communication skills; ability to translate analytics and AI outputs into trusted, actionable decisions.
- Hands-on knowledge of Databricks Lakehouse capabilities, including SQL, Unity Catalog, data and AI governance, semantic modeling, AI/BI dashboards, Databricks metrics, and Genie AI spaces or agents.
- Demonstrated ability to ground natural-language analytics in certified data through attribution, metadata, metric definitions, model context, benchmarking, monitoring, permissions, and responsible-AI
- Experience leading proofs of concept from use-case definition and vendor alignment through validation, adoption, production readiness, and value measurement.
- Strong customer and restaurant intelligence orientation, with the ability to connect digital behavior, transaction, operational, financial, and customer data to practical business decisions.
Nice to have
- QSR, retail, or multi-unit franchise experience.
- Experience integrating POS, kiosk, aggregator, loyalty, labor, and financial systems.
- Exposure to forecasting, optimization, or recommendation systems (e.g., demand forecasting, recommended ordering, labor or cook projections).
- Experience enabling natural-language query or AI-assisted insight experiences over enterprise data.
- Familiarity with modern BI, semantic modeling, and metrics-layer approaches.
- Experience embedding governed Databricks Genie experiences in Microsoft Teams or comparable collaboration channels.
- Familiarity with customer data platforms, tokenized customer data, Customer 360 modernization, and migration or decommissioning strategies.
- Experience building analytics or AI guilds, training business users, and scaling self-service adoption across functions.
- Commercial and delivery experience with Databricks and systems-integration partners, including sponsorship models, low-cost pilots, resourcing, and ROI evaluation.
Full description
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.
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.