Data Lead, Senior Manager

Booz Allen Hamilton•McLean, VA

About The Position

Data Lead, Senior Manager The Opportunity: Be responsible for defining and executing the data strategy, governance, and migration approach for the program. Lead all activities related to data architecture, data mapping, data quality, data migration, and master data management across the program’s systems, including Infor LN, Icertis CLM, finance systems, and downstream reporting platforms. Collaborate closely with Enterprise Architecture, integration, business process, and testing teams to ensure data structures support the program’s business processes and system configurations. Translate functional design into structured data models, conversion, and migration plans. Define the enterprise data strategy supporting S2P and CLM processes, establish data governance framework, standards, and ownership models across business domains, define master data domains, including supplier, contract, item or service, and finan cia l data, and collaborate with Enterprise Architecture to align data architecture with system architecture. Lead the development of source-to-target data mapping templates across legacy systems and new platforms, define data models and canonical structures supporting integrations between Infor LN, Icertis, and finance systems, and ensure consistent data definitions across business process flows, integrations, and reporting. Define the data migration strategy, including extraction, transformation, cleansing, and loading, develop and manage data migration runbooks and execution plans, coordinate with system integrator s and vendors to execute data ingestion into Infor LN and Icertis, and oversee data validation and reconciliation activities during migration cycles. Establish data quality standards and validation rules, identify data gaps, duplicates, and inconsistencies across legacy systems, lead data cleansing efforts with business stakeholders, and define automated checks to ensure data completeness, accuracy, and integrity. Collaborate with the system business owners to define and manage data ownership and stewardship roles, establish data governance forums and decision processes, and define policies for data lifecycle management and data retention. Collaborate with an Integration Lead to define data structures supporting system integrations, define data requirements for enterprise reporting and analytics platforms, and ensure data architecture supports AI-enabled procurement analytics and spend insights. Collaborate with the QA Lead and the Business Process and Functional Validation Lead on the development of data validation test cases and reconciliation reports. Support end user design validation and formal testing events, oversee data validation, and ensure migrated data meets business acceptance criteria. Due to the nature of work performed within this facility, U.S. citizen ship is required .

Requirements

10+ years of experience in enterprise data architecture, data governance, or data migration roles
Experience leading data efforts for ERP or enterprise platform implementations
Experience with Source-to-Pay or Contract Lifecycle Management processes
Experience designing and executing large-scale data migrations
Experience with data modeling, data mapping, and data transformation frameworks
Knowledge of master data management ( MDM ) concepts
Ability to translate business processes into data structures
Bachelor's degree
U.S. citizen ship is required

Nice To Haves

Experience with Infor LN, Icertis CLM, or enterprise procurement systems
Experience with ArchiMate, enterprise architecture frameworks, or data architecture modeling tools
Experience with data governance tools and data quality frameworks
Experience supporting AI or analytics initiatives using enterprise contract, procurement, and finan cia l data
Possession of strong stakeholder management skills, across business, architecture, and engineering teams

Responsibilities

Be responsible for defining and executing the data strategy, governance, and migration approach for the program.
Lead all activities related to data architecture, data mapping, data quality, data migration, and master data management across the program’s systems, including Infor LN, Icertis CLM, finance systems, and downstream reporting platforms.
Collaborate closely with Enterprise Architecture, integration, business process, and testing teams to ensure data structures support the program’s business processes and system configurations.
Translate functional design into structured data models, conversion, and migration plans.
Define the enterprise data strategy supporting S2P and CLM processes, establish data governance framework, standards, and ownership models across business domains, define master data domains, including supplier, contract, item or service, and finan cia l data, and collaborate with Enterprise Architecture to align data architecture with system architecture.
Lead the development of source-to-target data mapping templates across legacy systems and new platforms, define data models and canonical structures supporting integrations between Infor LN, Icertis, and finance systems, and ensure consistent data definitions across business process flows, integrations, and reporting.
Define the data migration strategy, including extraction, transformation, cleansing, and loading, develop and manage data migration runbooks and execution plans, coordinate with system integrator s and vendors to execute data ingestion into Infor LN and Icertis, and oversee data validation and reconciliation activities during migration cycles.
Establish data quality standards and validation rules, identify data gaps, duplicates, and inconsistencies across legacy systems, lead data cleansing efforts with business stakeholders, and define automated checks to ensure data completeness, accuracy, and integrity.
Collaborate with the system business owners to define and manage data ownership and stewardship roles, establish data governance forums and decision processes, and define policies for data lifecycle management and data retention.
Collaborate with an Integration Lead to define data structures supporting system integrations, define data requirements for enterprise reporting and analytics platforms, and ensure data architecture supports AI-enabled procurement analytics and spend insights.
Collaborate with the QA Lead and the Business Process and Functional Validation Lead on the development of data validation test cases and reconciliation reports.
Support end user design validation and formal testing events, oversee data validation, and ensure migrated data meets business acceptance criteria.