Assoc. Director, Data Migration and Modernization

• 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.

• Bachelor’s degree in data engineering, computer science, information systems, engineering, or a related field.
• Minimum 8 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

1. Experience modernizing enterprise HR, ERP, financial, or workforce data environments.
2. Experience with public-sector or regulated organizations.
3. Program management, cloud, Databricks, or data governance certification.
4. Experience supporting capture, proposal development, and partner-led staffing.