MPI and VHIC Engineering Lead

Booz Allen Hamilton•McLean, VA

7d•Remote

About The Position

The Department of Veterans Affairs' (VA) Master Person Index (MPI) is the authoritative enterprise source for the VA's known identities and their traits and attributes, correlating identity data from DoD and third-party Cloud Service Providers via probabilistic matching through IBM Master Data Management and InfoSphere MDM. MPI is implemented as a combination of COTS products, including Oracle Database, IBM DB2, and InfoSphere MDM, and custom-built software, and currently manages 85M+ unique identities, serving 900M+ transactions per month, integrated with 200+ applications. MPI must meet a 99.99% production-availability target – the program's highest availability bar, shared only with Internal and External SSO. The Veteran Health Identification Card (VHIC) product issues health identification cards used at VA medical facilities to streamline appointment check-in and serves as the system of record for Veteran photographs. VHIC is currently implemented as a custom-developed software solution and must meet a 99.9% production-availability target. As MPI and VHIC Engineering Lead, you own the technical roadmap and engineering leadership for both the MPI and VHIC engineering teams, including probabilistic-matching tuning and identity reconciliation for MPI, and custom-application delivery for VHIC, coordinating closely with the ICAM Database Administrators who maintain the shared Oracle / DB2 / MDM backend. Apply today to help us deliver modern identity solutions that protect veterans, their data, and their access to critical VA services.

Requirements

5+ years of experience leading or architecting large-scale 10M+ record master data management or identity-correlation systems, including hands-on a MDM or probabilistic-matching platform such as IBM InfoSphere MDM
5+ years of experience with Oracle Database or IBM DB2 administration or architecture in an enterprise production environment, including HA / DR configurations
Experience leading a technical team delivering and operating a production identity datastore or system of record at scale
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
Bachelor's degree in Computer Science or Information Technology

Nice To Haves

Experience with healthcare or Veteran-facing identity data systems such as patient or member identity, health ID card issuance, or photo or document systems of record
Experience correlating identity data across DoD or other federal or third-party authoritative sources
Experience with data reconciliation and bulk data-quality remediation at the scale of 50M+ identity records
Experience using AI agents to build things, not just as chat assistants

Responsibilities

Own the technical roadmap and engineering leadership for the MPI Support team, including IBM InfoSphere MDM probabilistic-matching configuration or tuning for identity resolution and retrieval across 85M+ identities.
Own MPI's 99.99% production-availability target and VHIC's 99.9% production-availability target and lead incident triage or Root Cause Analysis for Tier 3 escalations on both products.
Lead data-integrity, bulk-validation or cleanup, and identity-reconciliation engineering for MPI and IGA per the program's Data Management requirements, including scripts and automated tooling for routine data validation.
Own technical delivery of the custom-developed VHIC application, including its role as the system of record for Veteran photographs and its integration with VA medical-facility check-in workflows.
Coordinate with the ICAM Database Administrators on the shared Oracle Database, IBM DB2, and InfoSphere MDM backend supporting MPI, VHIC, APDS, and Saviynt.
Serve as escalation point for MPI- related support tickets such as a Veteran's identity attributes in VA MPI are incorrect and need correction and own the identity-data-quality escalation path in coordination with the Identity Data Quality Analysts.
Mentor and provide technical work leadership to MPI / VHIC engineers and database staff on the MPI Support team.
Leverage AI intelligently to drive efficiency and quality of output.
Automate tasks wherever appropriate.
Develop and consistently use ways of working which allow Agents and automated processes to effectively assist.