Director, MDM Integrations

Job title: Director, MDM Integrations

About the Role The Director, MDM Integrations will lead the MDM integrations program from Fitch's New York office, partnering with the CDO to deliver a modern, scalable master data and reference data platform. This role focuses on designing hands-on integration solutions, enabling AI-enabled data stewardship, and driving high-quality data delivery for critical business operations.

What You'll Do

• Partner with the CDO team to deliver a modern, scalable master data management and reference data solution, enabling data access for innovation, AI, and smarter decision-making.
• As lead of MDM integrations, own hands-on design and delivery of solutions aligned to product priorities and business outcomes.
• Integrate agentic and generative AI into MDM to enhance data stewardship, automate matching/enrichment, enable conversational data discovery and issue resolution, and boost user adoption.
• Optimize MDM integrations performance and high-throughput data access using appropriate data management methodologies.
• Drive complex data transformations and proactively triage issues to eliminate defects and prevent production incidents.
• Mentor squad members and assist in technical hiring.

What We're Looking For

• 5-7+ years leading data engineering teams, preferably in financial services, with cloud experience (AWS, Azure) and Agile methodologies.
• Deep AWS expertise (EKS, Lambda, Glue, Redshift, S3, RDS/Aurora, Valkey/Redis, Step Functions, MSK/Kafka, EventBridge).
• 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 Avro/JSON; Open table formats (Iceberg or Delta Lake), partitioning, compaction, ACID, schema evolution.
• Database expertise with Postgres for schema design and performance tuning; Redshift optimization.
• Caching with 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 lakehouse architecture, and data mesh/virtualization tools (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 Have

• Hands-on experience building AI agents (LangChain or LlamaIndex), implementing RAG over enterprise data, and enforcing robust guardrails through rigorous testing and evaluation.
• Applying AI/ML to boost engineering productivity (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 (MCP, A2A) that ensure secure, interoperable, observable, and vendor-agnostic communication with authenticated, auditable messaging and robust error handling.
• Experience forming strong partnerships with stakeholders and product teams.
• Great interpersonal and collaboration skills.
• Ability to translate technical concepts to non-technical stakeholders.