Fidelity Legal Jobs (NOW HIRING)

Note: Fidelity will not provide immigration sponsorship for this position.

In this leadership role, you will drive the Data Architecture and Data platform modernization for the Workplace Investing division of Fidelity Investments. You will work with Enterprise Architects to define strategies to modernize legacy systems, leveraging AI/MLenabled approaches for mainframe and legacy platform modernization, along with other leadingedge initiatives. You will collaborate closely with business partners and technology teams to understand business objectives and define the appropriate architectural direction.

The Expertise You Have

• Education: BS or MS required

• 10+ years of experience working with data and databases

• Experience architecting large, complex systems with highvolume and highperformance requirements

• Ability to work collaboratively with Enterprise Architects across business units to create a unified Fidelity Architecture Strategy

• Experience partnering with Fidelity Legal, Risk, Compliance, and Cybersecurity teams to ensure safe and secure handling of enterprise, client, and customer data in public cloud environments

The Data Architecture Skills You Bring

• Experience designing, building, and modernizing largescale, resilient, and highperformance data platforms supporting both operational and analytical workloads

• Ability to develop conceptual and logical data models aligned to business outcomes

• Ability to define phasewise modernization and implementation strategies for large, multiyear platform programs

• Strong experience with data migration strategies and patterns, especially involving legacy systems and cloudnative platforms

• Deep understanding of relational and nonrelational data stores, with the ability to make and clearly articulate architectural tradeoffs

• Strong knowledge of data processing, data movement, and integration patterns across batch, streaming, and eventdriven architectures

• Expertise in evaluating, prototyping, and recommending technologies based on business, architectural, and operational needs

• Strong understanding of resiliency, security, privacy, and cloud deployment patterns

• Proven experience in data quality, largescale data analysis, pattern identification, and insight generation

• Experience designing data stores optimized for different consumption patterns, including operational, analytical, AI/ML, and APIdriven use cases

The AI / ML Skills You Bring

• Strong understanding of AI/ML and Generative AI concepts (such as LLMs, embeddings, and retrievalaugmented generation), and how they are applied within modern enterprise platforms, including data pipelines, models, and AIenabled services

• Experience using AI to modernize legacy systems, including AIassisted code analysis, automated documentation, and system knowledge extraction from legacy technologies (e.g., COBOL, .NET, C#), as well as modern code generation

• Ability to leverage AI and development assist tools (such as specdriven development, AIassisted design reviews, and automated test case generation) to improve the software development lifecycle (SDLC), accelerating design, build, testing, and migration activities during legacytomodern transformations

• Familiarity with AIpowered engineering productivity tools, including code assistants, modernization accelerators, and automated testing and qualityvalidation solutions (e.g., GitHub Copilot, Claude, Gemini)

• Handson enough to design and lead proofofconcepts (POCs) that demonstrate the value of AI and GenAI in platform modernization, without acting as a fulltime developer

• Understanding of responsible AI practices, including data governance, model risk, explainability, and compliance considerations in regulated environments

• Ability to communicate how AIenabled modernization improves speed, quality, and scalability, and to clearly articulate value, tradeoffs, and risks to business and technology leaders

You don't need to have all the above skills but if you have experience working in these areas and experience modernizing the legacy platform, you could be a good fit for this role. Ability to learn and adapt along with critical thinking are essential.

Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.