Director, AI/ML and Data Architecture
Job Description
Job Description:
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.
Certifications:
Category:
Information TechnologyPlease 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.
Job Description:
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.
Certifications:
Category:
Information TechnologyPlease 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.
About Fidelity Investments
At Fidelity, since our founding in 1946, we have been dedicated to strengthening and security our clients’ financial well-being through exceptional service and innovative solutions. We empower over ~50 million people to achieve their most important financial goals, manage employee benefit programs for nearly 24,000 businesses, and support more than 16,000 wealth management firms and institutions with cutting-edge investments and technology. Our diverse business portfolio and independence provide us with a comprehensive view of the market and the stability to deliver long-term value for our customers. As the financial industry evolves and customer needs grow more complex, Fidelity continues to reinvent, innovate, and transform to meet the challenges of tomorrow’s financial landscape.
*Specifically serviced by our Clearing & Custody team within Fidelity Institutional
Fidelity TalentSource, is the in-house temporary staffing provider for Fidelity Investments. Unlike traditional staffing agencies, we are an internal business unit within Fidelity’s Talent Acquisition team, dedicated to recruiting talent from various backgrounds for roles in Fidelity’s regional and investor center locations. Our mission is to help you experience Fidelity’s diverse and inclusive workplace while expanding your skill set and professional network, with the ultimate goal of conversion to full-time employment as part of Fidelity’s long-term strategy. To learn more about temporary positions at Fidelity Investments, visit FidelityTalentSource.com.
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