Vice President, Data Architect, Data Service and Governance

Income Research + Management

Boston (MA)

Hybrid

USD 180,000 - 200,000

Full time

14 days+

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Benefits offered by this job

Medical, dental, vision, and life insurance

401(k) with company contribution

Tuition reimbursement up to $15,000 per year

$5,000 employee referral bonus

Generous paid time off

Business-casual environment

Job summary

Income Research + Management, based in Boston, is looking for a VP, Data Architect to lead data architecture and governance within the Enterprise Data Service Team. The role involves designing and supporting data solutions on-prem and in Azure, making substantial contributions to data integrity and operational effectiveness.

The ideal candidate brings deep expertise with hands-on delivery, encompassing a comprehensive understanding of the investment management data domains, and will work closely with cross-functional teams to translate business needs into efficient data architectures.

We offer a robust hybrid work environment with competitive compensation and benefits.

Qualifications

10+ years of relevant experience is required.
Strong understanding of data platforms (on-prem and cloud).
Deep knowledge of buy-side asset management data flows is a strong plus.

Responsibilities

Architect end-to-end data solutions across on-prem and Azure cloud platforms.
Design and implement multi-layer ELT/ETL pipelines using Azure-native services.
Collaborate with the Head of Data Services and Governance.

Skills

Azure Data Factory

Azure SQL

Azure Synapse Analytics

Azure Data Lake Storage

Azure Databricks

CI/CD pipelines

Dimensional modeling

Data modeling

Education

Bachelor’s degree in Computer Science, Information Systems, Finance, Mathematics, Engineering, or related field

Tools

Azure DevOps

GitHub

Job description

Income Research + Management

Income Research + Management is a Boston-based, privately owned, fixed income asset management firm. IR+M delivers strong performance and consistent results through a rigorous, bottom‑up security selection process and strives to provide best‑in‑class client service to our 800+ institutional and private wealth clients. Founded in 1987 and located in the heart of Boston’s financial district, IR+M employs 200 full time professionals and currently manages $135+ billion in assets. We offer industry‑leading benefits, as well as a challenging, collegial, and rewarding workplace with high levels of employee engagement.

Open Position

VP, 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.

The right candidate brings deep expertise across the full data stack – from logical to physical modeling, data warehouse to data lake, analytics to reporting – and knows how to match the right platform to support the firm’s investment management and operation functions. This is a thinker and a doer role: design, plan, implement, and support.

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
Evaluate new data product and platform

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
Ability to work in a fast‑paced, agile environment managing multiple priorities simultaneously
Strong written and verbal communication skills

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

Nice to Have

Experience with fixed income data domains including security master, pricing, analytics, benchmarks, or portfolio master
Background in BI reporting and data model design for enterprise reporting layers

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

Joining the IR+M team means being part of a collaborative, mission‑driven organization that values investment, respect, positivity, and motivation. You’ll have the opportunity to make a direct impact by improving operational efficiency and strengthening data integrity across the firm.

We offer: