Associate Director, Data Migration and Modernization

What You Will Do:

• Lead the end-to-end data workstream and establish the migration strategy, governance cadence, priorities, and integrated delivery plan. 

• Define system and asset rationalization criteria and guide decisions to migrate, redesign, consolidate, retain temporarily, or retire. 

• Prioritize migration waves using business value, dependency, readiness, complexity, risk, and operational-impact considerations. 

• Direct source and target profiling, quality analysis, mapping, conversion, reconciliation, validation, and readiness activities. 

• Oversee migration execution across Databricks architecture, engineering, testing, release, stabilization, and operational transition. 

• Guide expansion of canonical HR data products and reusable patterns beyond the initial priority waves. 

• Coordinate with business, HR, application, integration, security, architecture, governance, and program leadership stakeholders. 

• Establish the repeatable operating model, standards, decision gates, metrics, and lessons learned needed for broader rollout. 

• Lead executive communications, resolve cross-workstream issues, and provide accountability for scope, schedule, quality, and outcomes. 

What You Will Need: 

• Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred

• Bachelor’s degree in data engineering, computer science, information systems, engineering, or a related field. 

• EIGHT (8) or more years of experience leading enterprise data modernization, migration, platform, or analytics programs, including responsibility for multidisciplinary teams. 

• Experience leading data migration strategy and execution across complex source systems, dependencies, and business processes. 

• Experience defining rationalization criteria, migration waves, reconciliation approaches, readiness gates, and stabilization plans. 

• Strong knowledge of modern cloud data platforms, lakehouse architecture, data products, governance, quality, testing, and DataOps. 

• Experience with Databricks and Unity Catalog. 

• Demonstrated ability to advise executives, facilitate difficult decisions, and align business and technical stakeholders. 

• Experience developing resource models, delivery roadmaps, implementation plans, and repeatable rollout approaches. 

What Would Be Nice To Have:

• Experience modernizing enterprise HR, ERP, financial, or workforce data environments. 

• Experience with public-sector or regulated organizations. 

• Program management, cloud, Databricks, or data governance certification.