Senior Director, Enterprise Data Architecture and Analytics

Senior Director, Enterprise Data Architecture and Analytics

Company Overview

Pattern Energy is a leading renewable energy company that develops, constructs, owns, and operates high-quality wind and solar generation, transmission, green fuels and energy storage facilities. Our mission is to transition the world to renewable energy through the sustainable development and responsible operation of facilities with respect for the environment, communities, and cultures where we have a presence. Our approach begins and ends with establishing trust, accountability, and transparency.

Our company values of creative spirit, pride of ownership, follow-through, and a team-first attitude drive us to pursue our mission every day. Our culture supports our values by fostering innovative and critical thinking and a deep belief in living up to our promises. Headquartered in San Francisco, Pattern has a portfolio of 30 power facilities and transmission assets across North America, serving various customers that provide low-cost clean energy to millions of consumers.

Responsibilities

Job Purpose

The Senior Director of Enterprise Data Architecture & Analytics serves as the executive leader of Pattern Energy’s enterprise-wide data and analytics function. This role sets the long-term vision, strategy, operating model, and investment roadmap for Pattern’s data ecosystem across platforms, governance, architecture, product management, and delivery.

Key Accountabilities

• Define and execute the enterprise data and analytics strategy, ensuring alignment with business priorities and long-term technology roadmaps.
• Establish a unified operating model including product management, agile delivery, architecture, and governance.
• Drive architectural modernization, federation of analytics, and AI-enablement across the company.

• Lead enterprise architecture across data engineering, BI, AI/ML, data governance, cloud, and integrations.
• Ensure scalable, domain-aligned architectures using Databricks Lakehouse, ADLS, Delta, Medallion patterns, Purview, and Azure cloud services.
• Govern standards for data modeling, data quality, metadata, lineage, MDM, and integration patterns.
• Alignment with enterprise applications architecture and tooling used across business domains.

• Oversee the Product Manager, Product Solutions Architects, and Technical Delivery Manager to deliver high-quality, high-velocity outcomes.
• Maintain and prioritize product portfolio across enterprise data engineering, analytics, AI, and governance initiatives.
• Drive repeatable delivery, best-practice Dev Ops, and consistent platform enablement.

• Own enterprise data platform strategy:
  Databricks, ADLS, Purview, Azure Dev Ops, enterprise semantic layer, and BI, AI, and Analytics tools.
• Set standards for scalability, performance, cost optimization, and operational excellence.
• Lead adoption of emerging technologies, including generative AI, self-service data, and embedded analytics.

• Oversee day-to-day operational support for the enterprise data and analytics ecosystem for business-critical workflows and 24-7 support.
• Ensure SLAs, incident response, change management, and environment reliability across data pipelines, models, BI content, and platform services.
• Partner with Managed Service Providers and internal teams to ensure high system uptime and timely issue resolution.
• Establish monitoring, alerting, and operational dashboards to ensure proactive maintenance and reduce downtime.
• Drive continual improvement in system performance, user satisfaction, and operational efficiency.

• Oversee enterprise data governance, data quality, security, privacy, retention, and compliance frameworks.
• Ensure governance is scalable and federated, enabling the business without slowing delivery.
• Reduce technical debt and enforce best practices across the enterprise.

• Lead a team of employees and contractors across Platform, Intelligence, Governance, Product, and…