Senior Data Engineering, BI & Governance Manager
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Key skills for this role
About the Role
Americana Restaurants seeks a Senior Data Engineering, BI & Governance Manager to own the enterprise data platform, business intelligence, and data governance end-to-end. The role requires 10-12 years of experience, deep Azure data stack expertise, and leadership of a federated team across UAE and Mohali.
Key Skills for This Role
Responsibilities
- Own and modernize Americana's enterprise data platform on Azure — data lake, warehouse, pipelines and source systems
- Govern and enhance the enterprise semantic layer and metric store to ensure single, consistent KPI definitions across functions
- Run Power BI as an enterprise product — SLAs, adoption, cost and disciplined retirement of low value reports
- Deliver the Enterprise Data Catalog (EDC) and comprehensive metadata management, closing Internal Audit Observations
- Provide the data foundation (pipeline and architecture) for the organization’s AI initiatives including semantic search, RAG, observability and human in the loop guardrails
- Lead a federated team across UAE (business facing) and Mohali (delivery bench) — building capability across data engineering, BI development, platform engineering and data governance
- Own the platform TCO (Azure, Power BI, LLM tokens, third party tools) with monthly ROI reporting
- Serve key internal customers — business users needing dashboards and self service, and the Advanced Analytics team needing production grade ML/GenAI infrastructure
- Act as player coach — comfortable in both strategy conversations and code reviews
- Contribute and co own enterprise data policies — Data Management SOP, data governance framework, data quality standards, semantic layer standards and Power BI publishing standards
- Implement existing IT Security, privacy and data residency policies in partnership with IT Security and Internal Audit
Requirements
- Bachelor's degree in Computer Science, Engineering, Statistics or related discipline (Master's preferred)
- 10–12 years of progressive experience in data engineering, BI and data platform roles, with the last 3+ years running a cloud native lakehouse (Azure Synapse / Fabric / Databricks / Snowflake)
- Proven ownership of an enterprise Power BI deployment at scale (semantic modelling, DAX, workspace governance, capacity management)
- Hands on delivery of data governance programs — Enterprise Data Catalog, metadata management, data quality frameworks (Purview / Collibra / Alation)
- Track record of building and leading federated / distributed teams across geographies
- Prior exposure to QSR / Retail / CPG data landscapes
- Preferred certifications: Azure Data Engineer Associate, DAMA CDMP, Microsoft Fabric Analytics Engineer or similar
Full Job Posting
Job Purpose
- Own Americana's enterprise data platform, business intelligence and data governance end to end spanning data lake, ETL/ELT, semantic layer, Power BI as a service and the underlying infrastructure for AI initiatives across the organization.
- Enable readiness to make trusted, timely, AI ready decisions across 13 markets and 2,749+ restaurants.
- Deliver the 'one source of truth' data foundation that powers the AI Roadmap 2026 27, closes open Internal Audit commitments on Enterprise Data Catalog and metadata management, and unlocks productivity and revenue upside identified in the AI & Analytics Center of Excellence.
Key Responsibilities
- Own and modernize Americana's enterprise data platform on Azure — data lake, warehouse, pipelines and source systems (POS, BOH, Oracle Fusion ERP, VOC, CRM, Marketing, Events, Web) delivering ≥ 99.5% pipeline reliability and ≤ 1 day exec data freshness to enable trusted decision making across 13 mar
- Govern and enhance the enterprise semantic layer and metric store to ensure single, consistent KPI definitions across FP&A, Ops, Marketing, HR and Customer.
- Run Power BI as an enterprise product — SLAs, adoption, cost and disciplined retirement of low value reports — reducing the ad hoc reporting backlogs and improving self service maturity.
- Deliver the Enterprise Data Catalog (EDC) and comprehensive metadata management, closing Internal Audit Observations and operationalizing the Data Management SOP through Data Owner accountability, KPI validity reviews and access recertification.
- Provide the data foundation (pipeline and architecture) for the organization’s AI initiatives including semantic search, RAG, observability and human in the loop guardrails.
- Lead a federated team across UAE (business facing) and Mohali (delivery bench) — building capability across data engineering, BI development, platform engineering and data governance — while driving offshoring and cost efficiency in line with FY26 org design.
- Own the platform TCO (Azure, Power BI, LLM tokens, third party tools) with monthly ROI reporting.
- Serving key internal customers — business users needing dashboards and self service, and the Advanced Analytics team needing production grade ML/GenAI infrastructure.
- Player coach leadership — comfortable in both strategy conversations and code reviews. Builds a high performing federated data team, influences business stakeholders without direct authority, and champions automation, self service and platform thinking over ticket driven delivery.
- Contributor and co owner of enterprise data policies — Data Management SOP, data governance framework, data quality standards, semantic layer standards and Power BI publishing standards.
- Implements existing IT Security, privacy and data residency policies in partnership with IT Security and Internal Audit.
Qualification
- Bachelor's degree in Computer Science, Engineering, Statistics or related discipline (Master's preferred).
- Preferred certifications: Azure Data Engineer Associate, DAMA CDMP, Microsoft Fabric Analytics Engineer or similar others.
Experience
- 10–12 years of progressive experience in data engineering, BI and data platform roles, with the last 3+ years running a cloud native lakehouse (Azure Synapse / Fabric / Databricks / Snowflake).
- Proven ownership of an enterprise Power BI deployment at scale (semantic modelling, DAX, workspace governance, capacity management).
- Hands on delivery of data governance programs — Enterprise Data Catalog, metadata management, data quality frameworks (Purview / Collibra / Alation).
- Track record of building and leading federated / distributed teams across geographies.
- Prior exposure to QSR / Retail / CPG data landscapes.
Job Specific Skills
- Strong Azure data stack: Data Factory, Synapse / Fabric, Data Lake, SQL, Databricks.
- Semantic layer tooling (SSAS Tabular / Fabric / dbt semantic).
- Python + SQL fluency; ability to code review pipelines and semantic models.
- MLOps fundamentals: Azure ML, MLflow, feature stores.
- Working knowledge of LLM/GenAI patterns in a data context — RAG, semantic search, agent orchestration (LangChain / Semantic Kernel), prompt evaluation.
- Familiarity with DAMA DMBOK and data privacy / residency requirements (UAE / KSA).
Competencies
- Strategic Thinking: Links data platform investments to business ROI and AI roadmap outcomes.
- Influence & Communication: Explains complex data and AI concepts to executive audiences and Board forums.
- Ownership & Accountability: Owns SLAs, TCO and audit closure — bias for closure over commentary.
- Collaboration: Strong partnership with Analytics, business functions, IT Security and external partners.
- Data & Platform Expertise: Deep hands on skills in modern data stack, semantic layer, MLOps and GenAI patterns.
- Governance Mindset: Institutionalises data quality, metadata, catalog and access recertification as recurring disciplines.
- Talent Development: Builds a high performing federated team across UAE and Mohali.
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