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Director, AI​/ML, Data Architecture

Job in Hudson, Hillsborough County, New Hampshire, 03051, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-07-20
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Data Engineering
Salary/Wage Range or Industry Benchmark: 130000 - 170000 USD Yearly USD 130000.00 170000.00 YEAR
Job Description & How to Apply Below

Responsibilities

  • Drive the Data Architecture and Data platform modernization for the Workplace Investing division
  • Work with Enterprise Architects to modernize legacy systems
  • Collaborate closely with business partners and technology teams
Qualifications
  • BS or MS required
  • 10+ years of experience working with data and databases
  • Experience architecting large, complex systems with high‑volume and high‑performance requirements
  • Ability to work collaboratively with Enterprise Architects across business units
  • Experience partnering with Fidelity Legal, Risk, Compliance, and Cybersecurity teams
  • Experience designing, building, and modernizing large‑scale, resilient, and high‑performance data platforms
  • Ability to develop conceptual and logical data models aligned to business outcomes
  • Ability to define phase‑wise modernization and implementation strategies for large, multi‑year platform programs
  • Strong experience with data migration strategies and patterns
  • Deep understanding of relational and non‑relational data stores
  • Strong knowledge of data processing, data movement, and integration patterns
  • Expertise in evaluating, prototyping, and recommending technologies
  • Strong understanding of resiliency, security, privacy, and cloud deployment patterns
  • Proven experience in data quality, large‑scale data analysis, pattern identification, and insight generation
  • Experience designing data stores optimized for operational, analytical, AI/ML, and API‑driven use cases
  • Strong understanding of AI/ML and Generative AI concepts
  • Experience using AI to modernize legacy systems
  • Ability to leverage AI and development assist tools
  • Familiarity with AI‑powered engineering productivity tools
  • Hands‑on enough to design and lead proof‑of‑concepts (POCs)
  • Understanding of responsible AI practices
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