Manager, Data Architecture and Strategy (Hybrid)

Eversource Energy•Westwood, MA

23h•Hybrid

About The Position

The Data Architecture Manager leads the design, governance, and evolution of enterprise data architecture to enable scalable, reliable, and business-aligned data solutions. This role is accountable for the success of the enterprise data platform, ensuring data is structured, integrated, and accessible to drive analytics and decision-making. The manager oversees enterprise data architecture design, establishes and matures the enterprise data modeling practice, defines and enforces data domain standards, and ensures alignment with the broader enterprise architecture strategy and governance processes.

Requirements

Deep understanding of modern data architecture patterns (data lake, lake house, data warehouse, data mesh, medallion architecture)
Ability to design scalable, secure and high-performing data ecosystems across structured and unstructured data.
Expertise in conceptual, logical and physical data modeling
Knowledge of integration patterns (CDC, streaming, APIs, event-driven architecture)
Familiarity with tools such as Fivetran, informatica, MuleSoft, or similar platforms
Experience with Databricks (preferred), Snowflake or similar analytics engines
Understanding of storage, compute and cost optimization strategies (FinOps awareness)
Strong data management and data governance capabilities, including expertise in cataloging, data classifications, compliance, access control, and other related areas.
Experience working with sensitive data and ensuring compliance with enterprise and regulatory requirements.
Understanding of enterprise architecture frameworks (e.g., TOGAF) and ability to align data architecture with application, integration and infrastructure strategies.
Experience designing for performance at scale, including query optimization and workload management while having a strong IT knowledge base to effectively collaborate with IT Leaders
Understanding of how data architecture supports analytics, machine learning, and AI use cases.
Experience with CI/CD for data pipelines and infrastructure-as-code concepts
Knowledge of data observability, monitoring, and alerting practices
Experience implementing data quality checks and reliability frameworks.
Intermediate proficiency in standardized data analysis and analytics programming languages such as SQL, Python, PySpark, and Scala, with a focus on their application in data management and analytics workflows.
Familiarity with architectural design patterns, including centralized, decentralized, and distributed approaches, and the ability to apply this knowledge to optimize data management and analytics operations.
Familiarity with cloud-based data management and analytics platforms, with a preference for experience working with Azure cloud services such as Azure Purview and Azure Data Factory.
Bachelor’s degree in information technology or services, related discipline, or equivalent experience in leu of having a degree.
Ten plus years of experience in an IT-related field.
Three plus years of experience building, managing and leading teams.
Distributed delivery experience on large programs.
Hands-on experience with at least one of the leading public cloud data platforms (Amazon Web Services, Azure, or Google Cloud).
Experience in data analysis, data modeling, and data visualization, gained through coursework, internships, or previous work experience.
Experience in data governance policies, rules, and processes to ensure accurate, complete, and consistent data across the organization.
Ability to understand the business definition of Customer data and how specific business metrics are calculated from specified data sources.
Ability to effectively collaborate with the business, technology, and BI leaders; drive change adoption by developing a pull not a push.
Strong presentation and communication skills and ability to effectively communicate at all levels of the organization.
Strong understanding of the financial and regulatory environment in the Utilities industry, and ability to facilitate work across these areas.

Nice To Haves

Master’s degree a plus but not required.
Certification in one or more cloud platforms (AWS, Azure, GCP).
Certification in Agile practices is a plus (SAFe® Agilist / Leading SAFe).

Responsibilities

Provide subject matter expertise on enterprise data management and analytics leading practices and ensure data assets are developed and delivered to meet business needs.
Lead data architecture design and enable industry leading data engineering solutions and tools to help democratize data access across Eversource and enable AI/ML for business.
Provide oversight to the data engineering teams, ensuring that data pipelines, transformations, and integrations are executed to align with the overall data architecture and governance framework.
Enforce data governance processes and tools to simplify data access while ensuring data quality, literacy, and security.
Collaborate with Enterprise and Solution Architects to ensure that Customer initiatives adhere to established data architecture principles and practices.
Lead the design and implementation of enterprise data architecture for scalable, high-performing data solutions.
Own and drive the overall success of the enterprise data platform, including performance, scalability, reliability, and maintainability.
Own and drive the roadmap of the enterprise data platform, always collaborating with the data managers and stakeholders to ensure it meets business needs.
Partner with business stakeholders, product teams, and engineering to translate business needs into effective data architecture solutions.
Establish, evolve, and manage the enterprise data modeling practice, including conceptual, logical, and physical data models.
Define and enforce enterprise data standards across domains, including data modeling, integration patterns, metadata, and governance practices.
Ensure consistency, reuse, and interoperability of data assets across the enterprise.
Collaborate with Enterprise and Solution Architects to align data architecture strategies and solutions with the enterprise architecture framework, standards, and roadmaps.
Participate in architecture governance processes, including design reviews and strategic planning forums.
Provide leadership, mentorship, and direction to data architects and related roles, drive ongoing learning to stay ahead of latest trends.
Drive adoption of architectural best practices and promote a culture of accountability and continuous improvement.
Identify and mitigate architectural risks and ensure long-term sustainability of data solutions