Associate Director, Data Migration and Modernization
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Role details
Tech stack
Job description
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Lead the end-to-end data workstream and establish the migration strategy, governance cadence, priorities, and integrated delivery plan.
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Define system and asset rationalization criteria and guide decisions to migrate, redesign, consolidate , retain temporarily, or retire.
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Prioritize migration waves using business value, dependency, readiness, complexity, risk, and operational-impact considerations.
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Direct source and target profiling, quality analysis, mapping, conversion, reconciliation, validation, and readiness activities.
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Oversee migration execution across Databricks architecture, engineering, testing, release, stabilization, and operational transition.
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Guide expansion of canonical HR data products and reusable patterns beyond the initial priority waves.
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Coordinate with business, HR, application, integration, security, architecture, governance, and program leadership stakeholders.
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Establish the repeatable operating model, standards, decision gates, metrics, and lessons learned needed for broader rollout.
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Lead executive communications, resolve cross-workstream issues, and provide accountability for scope, schedule, quality, and outcomes.
Requirements
- 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
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Bachelor’s degree in data engineering, computer science, information systems, engineering, or a related field.
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EIGHT (8) or more years of experience leading enterprise data modernization, migration, platform, or analytics programs, including responsibility for multidisciplinary teams.
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Experience leading data migration strategy and execution across complex source systems, dependencies, and business processes.
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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 .
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Experience with Databricks and Unity Catalog.
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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:
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Experience modernizing enterprise HR, ERP, financial, or workforce data environments.
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Experience with public-sector or regulated organizations.
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Program management, cloud, Databricks, or data governance certification.
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Experience supporting capture, proposal development, and partner-led staffing.
Benefits & conditions
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
- Medical, Rx, Dental & Vision Insurance
- Personal and Family Sick Time & Company Paid Holidays
- Position may be eligible for a discretionary variable incentive bonus
- Parental Leave and Adoption Assistance
- 401(k) Retirement Plan
- Basic Life & Supplemental Life
- Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
- Short-Term & Long-Term Disability
- Student Loan PayDown
- Tuition Reimbursement, Personal Development & Learning Opportunities
- Skills Development & Certifications
- Employee Referral Program
- Corporate Sponsored Events & Community Outreach
- Emergency Back-Up Childcare Program
- Mobility Stipend
About Guidehouse
Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
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