Vice President, Data Architect, Data Service and Governance

Overview

The VP, Data Architect role is a hands-on technical leader within the Enterprise Data Service and Governance Team. This individual will design, build, and support modern data architectures that span on-premises and Azure cloud environments. This role requires deep expertise in investment management data domains. Strong hands-on data architecture skills, and the ability to translate complex investment and operational requirements into robust data models and integration patterns.

Key Responsibilities

• Architecture & Design

  • Architect end-to-end data solutions across on-prem and Azure cloud platforms, applying sound judgment on platform fit based on business requirements, cost, and complexity

  • Lead data modeling initiatives, including logical, physical, dimensional design, across various platforms of data marts, data warehouses, and data lake

  • Design and implement multi-layer ELT/ETL pipelines using Azure-native services

  • Evaluate architectural tradeoffs balancing delivery velocity, data integrity, operational risk, and long-term maintainability

  • Translate complex business and investment requirements into robust, scalable data models and integration patterns

• Hands-On Delivery

  • Perform hands-on development alongside architecture and design work

  • Conduct code and design reviews, and suggest and validate unit test cases

  • Contribute to the evolving data platform by evaluating, prototyping, and adopting new technologies

• Leadership & Collaboration

  • Collaborate with the Head of Data Services and Governance and Business/Data Analysts to define project design and influence requirements

  • Provide technical direction, lead design discussions and resolve conflicts

  • Contribute to the short- and long-term data technology roadmap

  • Write and maintain domain documentation

• Production Support & Issue Resolution

  • Participate in on-call rotation for operational support

  • Triage and troubleshoot data discrepancies, reporting breaks, and system issues

  • Work with stakeholders to resolve root causes of operational and data errors

  • Support testing and validation of system enhancements before release

  • Assist with User Acceptance Testing (UAT) for operational system upgrades or enhancements

  • Communicate clearly with business users on issue status and resolution timelines

Required Skills

• Experience

  • Core Azure Platform

  • Azure Data Factory, Azure SQL, Azure Synapse Analytics, Azure Data Lake Storage, Azure Databricks

  • Cloud-native ELT/ETL pipeline design and implementation

  • Data Architecture & Modeling

    • Datamart/lakehouse architecture, multi-layer ELT design

    • Dimensional modeling: star schemas, facts, dimensions, and analytical data structures

    • Data models for reporting, analytics, and downstream consumption layers

  • DevOps & Engineering Practices

    • CI/CD pipelines and automated deployment for data engineering workloads

    • Git-based source control, branching, pull requests, and release workflows via Azure DevOps and/or GitHub

    • Azure Key Vault, managed identities, and RBAC for secure data access

  • Platform & Domain Knowledge

    • Strong understanding of available data platforms (on-prem and cloud) with ability to right-fit technology to business need

    • Experience with 3rd party Enterprise Data Management systems (Markit EDM, Asset Control, Golden Source, or similar)

    • Deep knowledge of buy-side asset management data flows is a strong plus

  • Emerging Technology & AI

    • AI-aware mindset with the ability to identify opportunities to embed intelligent automation within data pipelines and architecture

    • Experience applying AI to data quality use cases such as anomaly detection, exception handling, and automated reconciliation

    • Familiarity with LLM-based tooling (e.g., GitHub Copilot, ChatGPT, Claude) to accelerate data engineering and architecture delivery

    • Understanding of responsible AI principles, governance, and compliance considerations in a regulated financial services environment

• Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Finance, Mathematics, Engineering, or related field — or equivalent practical experience

  • 10+ years of relevant experience is required

What We Offer

• Hybrid work environment

• Medical, dental, vision, and life insurance

• 401(k) with safe harbor (3%) and discretionary company contribution (12%)

• Tuition reimbursement up to $15,000 per year

• $5,000 employee referral bonus

• Business-casual environment (including jeans)

• Generous paid time off and leave programs

• Fitness, health, and composting reimbursements

• Eligibility for discretionary bonus program

Compensation

Compensation is based on experience, skill set, and business needs. Base Salary Range: $180,000-200,000 Annual Performance Bonus: This role is eligible for an annual performance-based bonus

Application Instructions

Applicants must be authorized to work in the U.S. for any employer. IR+M is unable to sponsor or assume sponsorship of employment visas.