Enterprise Data Governance & Compliance Lead

Position Overview

We are seeking a highly specialized, execution -focused Subject Matter Expert (SME) – AMI Data Governance & Compliance to architect, operationalize, and scale our global data management framework for Advanced Metering Infrastructure (AMI). As our enterprise accelerates grid modernization, managing millions of smart endpoints generating massive, high -velocity data payloads (interval usage, voltage profiles, and edge alerts) requires strict governance.

This role is a technical, non -administrative SME position located in our India delivery hub. You will serve as the premier authority balancing rapid data -driven innovation with utility -grade data protection, compliance, and edge analytics governance.

Key Responsibilities & Functional Objectives

• AMI Data Ownership & Stewardship: Design and deploy a comprehensive data governance framework that establishes clear protocols for Data Ownership and Stewardship across Customer Service, Grid Operations, and Enterprise Analytics divisions.
  

• AMI Data Quality & VEE Engineering: Architect automated, near -real -time profiling, cleansing, and validation routines—including Validation, Estimation, and Editing (VEE) parameters—to guarantee high -integrity downstream business intelligence and billing.
  

• Data Protection & Privacy Engineering: Partner with global Information Security teams to embed robust data protection frameworks, advanced encryption (in transit and at rest), and Role -Based Access Controls (RBAC) safeguarding sensitive Customer Energy Usage Data (CEUD).
  

• Metadata Management & Data Cataloging: Oversee the technical implementation of an automated, enterprise -scale Metadata & Data Catalog to systematically index diverse device telemetry, firmware configurations, and evolving grid topology assets.
  

• IoT & Telemetry Data Lineage: Map comprehensive, end -to -end technical data lineage from the smart meter endpoint and head -end systems (HES), through the Meter Data Management System (MDMS), down to operational dashboards and compliance reporting layers.
  

• Grid AI and Analytics Governance: Establish scalable, ethical guardrails for the validation, continuous monitoring, drift detection, and lifecycle management of predictive AI models, theft detection algorithms, and load forecasting pipelines.
  

• Massive -Scale Retention & Archival Strategy: Modernize corporate records management policies by engineering cost -effective Data Retention & Archival strategies (hot/cold/frozen tiering models) capable of optimizing petabyte -scale historical interval data footprints.
  

Requirements

Candidate Qualifications

• Experience: 12+ years of progressive technology experience, with a heavy emphasis on serving as an SME or Principal Architect managing high -volume data architecture, IoT/telemetry streaming pipelines, or global utility delivery systems.
  

• Domain Expertise: Documented success implementing data governance blueprints, data quality gates, and data cataloging solutions within heavy data -delivery systems or grid modernization initiatives.
  

• Technical Ecosystem: Deep structural familiarity with data engineering concepts across modern cloud platforms or big data streaming frameworks (e.g., Kafka, Spark, Databricks) applied to telemetry datasets.
  

• Education: Master’s degree or equivalent technical experience in Computer Applications, Computer Science, Data Architecture, or a related field.