Associate Director, Data Migration and Modernization

Guidehouse; San Antonio (TX); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Medical, Rx, Dental & Vision Insurance

Paid Holidays and Sick Time

Discretionary variable incentive bonus

Parental Leave and Adoption Assistance

401(k) Retirement Plan

Life Insurance

Health Savings Account, FSA

Disability Insurance

Tuition Reimbursement and Learning

Skills Development & Certifications

Employee Referral Program

Mobility Stipend

Job summary

Guidehouse seeks a senior data modernization leader to drive end-to-end migration programs across enterprise data platforms. You will establish governance cadences, define rationalization criteria, and prioritize waves based on value, readiness, and risk, while coordinating with business, HR, security, and leadership to ensure scalable rollout.

With Databricks expertise and a track record in guiding executives, you will shape reusable data products and deliver repeatable data architecture

Qualifications

• Bachelor’s degree in data engineering, CS, information systems, engineering, or related field.
• 8+ years leading enterprise data modernization, migration, platform, or analytics programs.
• Experience defining migration waves, readiness gates, and stabilization plans.
• Strong knowledge of modern cloud data platforms, governance and DataOps.
• Experience advising executives and aligning business and technical stakeholders.

Responsibilities

• Lead end-to-end data workstream and migration strategy.
• Define criteria to migrate, redesign, consolidate, retain, or retire.
• Prioritize migration waves by business value, readiness, complexity and risk.
• Direct profiling, quality analysis, mapping, conversion, reconciliation, and validation.
• Oversee migration across Databricks architecture, testing, release, and ops transition.
• Guide expansion of canonical HR data products and reusable patterns.
• Coordinate with business, HR, security, architecture, governance, and program leadership.
• Establish repeatable operating model, standards, gates, metrics, and lessons learned.
• Lead executive communications and accountability for scope, schedule, quality.

Skills

Leadership

Executive communication

Stakeholder management

Strategic planning

Data governance

Cloud data platforms

Data modernization expertise

Education

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

Tools

Databricks

Unity Catalog

Job description

• 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.

Job Family

Data Science Consulting

Travel Required

Up to 25%

Clearance Required

Ability to Obtain Public Trust

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

What We Offer

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.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at [e-mail]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.