Director Enterprise Data, Analytics & Integration

Role Summary

The Director/Sr Director, Enterprise Data, Analytics & Integrations owns the enterprise data and reporting strategy for a large, distributed retail footprint (~900 locations). This leader is accountable for modernizing and operating the end-to-end analytics ecosystem—from ingestion and integration through semantic modeling, governance, and executive reporting—while partnering deeply with business stakeholders to drive measurable outcomes (sales, margin, inventory productivity, labor efficiency, customer experience).

This role builds and scales a pragmatic operating model (often a BI/Analytics “Center of Excellence” approach) to ensure consistent metrics, trustworthy data, disciplined governance, and high adoption across the organization.

Key Responsibilities

Enterprise Data & Reporting Strategy

• Define and execute a multi-year enterprise data and reporting strategy aligned to corporate and retail operating priorities (store ops, merchandising, supply chain, finance, digital/eComm).
• Establish a single source of truth for KPIs and retail performance management (enterprise metric definitions, hierarchies, dimensional models, semantic layers).
• Build a roadmap for self-service analytics that balances empowerment with governance, standardization, and security (COE patterns, standards, training, adoption).

Retail Analytics Platform Ownership (Oracle Retail Insights + Power BI + Fabric)

• Lead the functional and technical ownership of Oracle Retail Insights as a core retail BI/warehouse capability, including data sourcing, transformations, and retail-ready reporting content.
• Own enterprise reporting and visualization strategy in Power BI, including dataset design, semantic models, performance tuning, governance, and release management.
• Drive the adoption and operationalization of Microsoft Fabric (OneLake/lakehouse patterns, ingestion, transformation, warehousing, real-time/stream needs where applicable) to modernize data workflows end-to-end.

Integrations & Data Movement (Oracle Katalist and broader ecosystem)

• Own integration strategy and execution to connect retail applications, legacy systems, and cloud platforms—ensuring scalable, supportable interfaces and high-quality data synchronization.
• Establish integration standards (API strategy, event vs. batch patterns, SLAs, monitoring/alerting, incident response) and ensure resilience for store-critical and enterprise-critical feeds.
• Partner with application owners and vendors to prioritize integration backlog and deliver at retail speed (testing discipline, cutover planning, rollout across 900 locations).

Data Governance, Quality, Security, and Compliance

• Stand up data governance practices: data ownership, stewardship, data quality rules, lineage, controlled metric definitions, and change control.
• Ensure appropriate security and privacy controls (role-based access, sensitivity labels where used, auditability), especially for customer/loyalty and employee-related data.

Business Partnership & Value Realization

• Serve as a strategic partner to senior business leaders—translating business goals into analytics products and integration capabilities.
• Build a cadence of value measurement (adoption, time-to-insight, KPI improvements, reduced manual effort) and communicate progress through executive-ready dashboards and narratives.
• Lead prioritization across competing demands with a clear “enterprise first” lens.

Vendor / MSP Management and Financial Stewardship

• Manage systems integrators/MSPs delivering data engineering, BI development, and integration services—ensuring quality, velocity, security, and cost control.
• Own budgets and vendor contracts; establish outcome-based SLAs, performance scorecards, and governance routines.

Required Qualifications

• 10+ years in enterprise data/analytics and/or integration leadership, with 5+ years managing teams and/or MSP/SI delivery.
• Demonstrated success building enterprise reporting strategy, KPI governance, and scalable analytics operating models (COE-style governance, enablement, and standards).
• Hands-on leadership experience with modern analytics stacks, including:
• Power BI (semantic modeling, governance, tenant/workspace standards, enterprise rollout)
• Microsoft Fabric (end-to-end analytics workflows across ingestion, transformation, warehousing/lakehouse, and reporting)
• Oracle Retail Insights (retail analytics/BI, data sourcing, retail hierarchies/metrics, operational reporting)
• Strong integration leadership: API-based integrations, ETL/ELT patterns, orchestration, monitoring, and SLAs.
• Proven ability to influence and partner across business and technology (merchandising, store ops, supply chain, finance, digital).
• Experience operating in a multi-site retail environment (hundreds of stores/locations strongly preferred).

Preferred Qualifications

• Experience with Oracle retail ecosystem components and retail data models (merchandise, inventory, pricing, promotions, loyalty/customer).
• Experience implementing or scaling a data governance program (catalog/lineage, DQ rules, stewardship).
• Familiarity with low-code or orchestration integration platforms (including Katalist capabilities where applicable).
• Background in product management for data/analytics (roadmaps, backlogs, adoption).

Leadership Attributes / Competencies

• Retail-first mindset: understands store operations realities, field adoption, and the need for reliable daily metrics.
• Operating model builder: establishes standards, governance, and enablement that scale across functions and geographies.
• Execution + strategy: can set a vision and deliver tangible value iteratively.
• Vendor leadership: drives outcomes with MSPs/SIs through disciplined governance and measurable performance.
• Data trust champion: relentlessly improves data quality, reliability, and clarity of definitions.