Director, MDM Integrations

Fitch Group • New York, NY

7d • $160,000 - $175,000 • Hybrid

About The Position

Fitch Group is seeking a Director, MDM Integrations to be based in their New York office. This role is within the Technology & Data Team, specifically focusing on modernizing how Fitch manages strategic data, including legal entities, securities, and reference data, by establishing enterprise master data. The candidate will be instrumental in shaping a unified, scalable data foundation to support critical business operations and decision-making. The position involves partnering with the Chief Data Officer (CDO) team to deliver a modern, scalable solution for managing and delivering master and reference data, aiming to unlock Fitch's data for innovation, AI, and smarter decision-making. The role requires hands-on design and delivery of MDM integrations, aligning technical delivery with product priorities and business outcomes. A key aspect of the role is integrating AI and generative AI into Master Data Management to enhance data stewardship, automate processes, enable conversational data discovery, and boost user adoption. The Director will also be responsible for optimizing MDM integration performance, driving complex data transformations, triaging issues, and mentoring squad members, including assisting in technical hiring.

Requirements

• 5-7+ years leading data engineering teams, preferably in financial services and cloud experience (AWS, Azure) and leveraging Agile methodologies, including hands-on expertise with:
• Deep AWS expertise (EKS, Lambda, Glue, Redshift, S3, RDS/Aurora, Valkey/Reddis, Step Functions, MSK/Kafka, Event Bridge)
• Ability to provide technical guidance and leadership to the team
• Applying AI/ML to boost engineering productivity (e.g., GitHub Copilot, Amazon Q)
• Strong Python for data engineering (Pandas, Spark/PySpark) and API Development (FastAPI or similar)
• Design and build high-performance REST/GraphQL APIs with optimized query patterns, pagination, caching, and schema design to ensure low-latency, performant reads at scale
• Build ETL/ELT pipelines for batch and streaming; Kafka/MSK with schemas (Avro/JSON) and delivery semantics
• Open table formats (Iceberg or Delta Lake), partitioning, compaction, ACID, schema evolution
• Database expertise with Postgres for schema design and performance tuning; Redshift optimization (sort/dist keys, WLM)
• Caching with Valkey/Redis: TTL strategies, invalidation, key design
• CI/CD and IaC with GitHub, Git/GitHub workflows, ArgoCD
• Security and reliability: IAM, KMS, secrets, VPC networking, observability (OpenTelemetry), SLOs, cost governance
• Strong system design, testing culture (unit/integration/contract), documentation, threat modeling
• Product-led delivery; ability to translate technical concepts to business outcomes; excellent communication
• Technology solutions and tools including data governance and catalog solutions (e.g. Collibra, Alation, data platform and lake(house) (i.e. ‘medallion’ architecture), and data mesh and virtualization tools (e.g. Starburst, Denodo)
• Experience operating in a product-led environment, where technical solutions are delivered in partnership with product managers, and success is measured by business impact
• Strong track record of evaluating and implementing new technologies and methodologies to enhance efficiency

Nice To Haves

• Hands-on experience building AI agents (e.g., using LangChain or LlamaIndex), implementing RAG over enterprise data, and enforcing robust guardrails through rigorous testing and evaluation.
• Applying AI/ML to boost engineering productivity (e.g., GitHub Copilot, Amazon Q) and using agentic AI to automate workflows such as code reviews, test generation, data quality checks, and runbook execution.
• Experience working with AI connection protocols (e.g., MCP, A2A) that ensure secure, interoperable, observable, and vendor-agnostic communication with authenticated, auditable messaging and robust error handling
• Experience with forming strong partnerships with stakeholders and product teams
• Great interpersonal and collaboration skills
• Ability to translate technical concepts to non-technical stakeholders.
• Proven ability to drive innovation and install a culture of ‘continuous improvement’ that measurably improve business outcomes
• Ability to communicate effectively with senior management and influence decision-making and roadmaps

Responsibilities

• Partner closely with the CDO team to deliver a modern, scalable solution of managing and delivering master and reference data, to consumers - unlocking Fitch’s data for innovation, AI and smarter decision-making.
• As lead of MDM integrations, build hands-on designs & deliver solutions ensuring well-coordinated technical delivery aligned to product-defined priorities and business outcomes.
• Integrate agentic and generative AI into Master Data Management to enhance data stewardship, automate matching and enrichment, enable conversational data discovery and issue resolution, and boost user adoption - advancing Fitch’s AI-ready MDM capabilities.
• Optimize MDM integrations performance and high-throughput data access by leveraging appropriate data management methodologies.
• Drive complex data transformations and proactively triage issues to eliminate defects and prevent production incidents.
• Mentor and motivate the squad members to grow their career and assist in technical hiring.

Benefits

• 40% in-office monthly to stay connected while keeping flexibility.
• Dedicated trainings, leadership development and mentorship programs
• Retirement planning and tuition reimbursement programs
• Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational wellbeing
• Family-friendly policies, including a generous global parental leave plan
• A collaborative workplace where all voices are valued, with Employee Resource Groups that unite and empower our colleagues around the globe
• Paid volunteer days, matched funding for donations and ample opportunities to volunteer in your community

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Education Level: No Education Listed