Enterprise Architect, Data

Wellington Management Company; Boston (MA); Presencial; USD 160.000 - 240.000; Jornada completa

Descripción de la vacante

Wellington Management is seeking an Enterprise Data Architect to lead the data architecture direction and platform strategy across the firm. The role emphasizes data governance, data modeling standards, analytics architecture, and AI-enabled data capabilities, working with technology leaders to balance speed, cost, and risk.

The candidate will translate business needs into scalable data solutions, partner with data governance teams, and drive architectural decisions that enable trusted data,

Descripción del empleo

About Us

Wellington Management offers comprehensive investment management capabilities that span nearly all segments of the global capital markets. Our investment solutions, tailored to the unique return and risk objectives of institutional clients in more than 60 countries, draw on a robust body of proprietary research and a collaborative culture that encourages independent thought and healthy debate. As a private partnership, we believe our ownership structure fosters a long-term view that aligns our perspectives with those of our clients.

Wellington Management offers comprehensive investment management capabilities that span nearly all segments of the global capital markets. Our investment solutions, tailored to the unique return and risk objectives of institutional clients in more than 60 countries, draw on a robust body of proprietary research and a collaborative culture that encourages independent thought and healthy debate. As a private partnership, we believe our ownership structure fosters a long-term view that aligns our perspectives with those of our clients.

About the Role

Wellington Management offers comprehensive investment management capabilities that span nearly all segments of the global capital markets. Our investment solutions, tailored to the unique return and risk objectives of institutional clients in more than 60 countries, draw on a robust body of proprietary research and a collaborative culture that encourages independent thought and healthy debate. As a private partnership, we believe our ownership structure fosters a long-term view that aligns our perspectives with those of our clients.

ENTERPRISE Data Architect, TECHNOLOGY

wellington management Wellington Management offers comprehensive investment management capabilities that span nearly all segments of the global capital markets. Our investment solutions, tailored to the unique return and risk objectives of institutional clients in more than 60 countries, draw on a robust body of proprietary research and a collaborative culture that encourages independent thought and healthy debate. As a private partnership, we believe our ownership structure fosters a long-term view that aligns our perspectives with those of our clients.

Tracing our roots to 1928, Wellington Management is one of the world's largest independent investment management firms. With over US$1 trillion in assets under management as of 30 September 2025, we serve as a trusted adviser to institutional clients and mutual fund sponsors in over 60 countries. As an Equal Opportunity Employer, we welcome people with diverse life experiences, fresh ideas, and specialized subject matter expertise.

THE POSITION

The Enterprise Data Architect will play a senior role in Wellington Management's Enterprise Architecture practice, helping shape the firm's data architecture direction, data platform strategy, analytics architecture, data modeling standards, and AI-enabling data capabilities. This role is an Enterprise Architect role with a targeted focus on data, responsible for developing architecture strategies, roadmaps, reference architectures, patterns, standards, and technology guidance that enable trusted data, scalable analytics, responsible AI, reduced complexity, managed technology risk, and optimized cost across the enterprise.

The person in this role will work directly with Technology Platform CIOs, the head of enterprise data, data product owners, solution architects, architecture domain working groups, data governance partners, and governance teams to ensure that business and technology decisions are outcome-driven, capability-first, platform-centric, and aligned with Wellington's enterprise architecture principles. The role requires a balance of strategic architecture leadership and practical solution engagement, with primary emphasis on enterprise-level data direction, standards, reuse, governance, risk management, and long-term platform evolution.

The Enterprise Data Architect earns influence through credibility, judgment, collaboration, and demonstrated outcomes. They must be able to translate complex data and AI architecture strategy into clear guidance for senior stakeholders, platform leaders, product teams, data engineering teams, analytics teams, and architecture communities, while helping teams make better decisions that balance speed, cost, resiliency, security, data quality, responsible AI, and risk.

KEY RESPONSIBILITIES

1. Enterprise Data Architecture Strategy and Roadmaps: Develop and maintain data architecture strategies and roadmaps for assigned platforms, domains, and enterprise capabilities, ensuring alignment with Wellington's broader technology, data, AI, and business priorities. Translate business outcomes and analytics objectives into practical data architecture direction, target-state designs, transition plans, and sequencing recommendations. Partner with data platform leaders, product owners, business analytics teams, and enterprise architects to define capability-based roadmaps that prioritize business value, governed data access, and trusted data reuse before technology selection. Identify enterprise synergies, dependencies, architectural constraints, and opportunities for simplification across data platforms, analytical environments, integration patterns, reporting capabilities, and AI-enabling data services. Provide strategic guidance for major data and analytics initiatives, including data platforms, data products, semantic layers, business intelligence, data modeling, responsible AI, agentic systems, metadata, lineage, and data governance. Create clear, consumable architecture communications that help senior leaders and delivery teams understand data architecture tradeoffs, risks, cost implications, and decisions.
2. Data Reference Architectures, Standards, and Modeling Patterns: Define and maintain enterprise data reference architectures, data modeling standards, data architecture patterns, principles, and reusable design guidance that enable consistent, scalable, secure, and resilient data del