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, facilitatedifficult 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.

• Experience supporting capture, proposal development, and partner-led staffing.