Consultant, Organizational Change Management

This is a 12-month remote contract with the potential for extension. Candidates local to the DC area must be available to work onsite 1–2 days per week in College Park, MD. NO THIRD PARTIES PLEASE.

Our client is seeking a candidate with hands-on experience building and standing up a data analytics function in-house. The organization previously outsourced this work and is now transitioning to an internal model. The ideal candidate will have experience establishing a data warehouse, developing a strategic roadmap, defining governance and operating structures, and leading workflow design and communication during rollout. Experience driving adoption through training and change enablement is essential.

Strong data analytics expertise is required.

The Consultant, Organizational Change Management (OCM) supports the Enterprise Data & Analytics Platform (EDAP) by leading change efforts tied to data platforms, analytics solutions, reporting, and broader digital transformation initiatives. This role focuses on driving adoption of data-driven and AI/ML tools, processes, and ways of working to deliver measurable business outcomes. Reporting to the Manager, OCM, this position applies a structured change management methodology across EDAP programs and other enterprise initiatives.

The Consultant may lead specific change work streams or provide end-to-end change support, ensuring alignment between technical delivery, business readiness, and long-term adoption.

• Lead OCM activities for enterprise-wide digital and technology initiatives.
• Develop and execute comprehensive change management strategies to drive adoption, reduce resistance, and accelerate benefits realization.
• Conduct change readiness assessments, impact analyses, and risk assessments across people, processes, tools, and culture.
• Plan and execute communication, training, and performance measurement programs.
• Apply Prosci change management methodology and collaborate across the project lifecycle.
• Establish milestones and deliverables to manage expectations and ensure program success.

• Build strong relationships with stakeholders, sponsors, and executive leadership.
• Align diverse stakeholders around the organization’s analytics and transformation vision.
• Translate complex ideas into clear, practical recommendations for executive audiences.
• Lead facilitation, team-building, and change enablement efforts.
• Oversee development and delivery of clear, timely communication plans.
• Demonstrate excellent written, verbal, and interpersonal communication skills.

• Lead change efforts for Enterprise Data Warehouse and Lakehouse implementations.
• Support rollout of analytics operating models, ML/AI training, workflows, roles, and processes.
• Define transition roadmaps from legacy analytics environments to future-state platforms.
• Support development of operating models and governance frameworks.
• Establish adoption, utilization, and proficiency metrics.
• Translate technical analytics concepts into business language for leadership.

• Support and coach leaders and people managers in driving and sustaining change.
• Prioritize and manage multiple initiatives while supporting high-performance teams.
• Participate in resource planning and manage competing priorities effectively.
• Apply sound judgment in time, resource, and priority management.

• Design and coordinate training programs to support employee and manager readiness.
• Ensure effective knowledge transfer and skill development during transitions.
• Become proficient in partner and technology platforms supporting key deployments.
• Contribute to continuous improvement of OCM methodologies, tools, and processes.

• Bachelor’s degree in business, organizational development, or related field (Master’s preferred).
• 7+ years of experience in technology consulting, professional services, or product environments.
• Proven experience leading large-scale, end-to-end organizational change initiatives.
• Experience in client-facing roles with strong stakeholder management skills.
• Ability to influence at all levels and lead without formal authority.
• Domain experience in Data Analytics and AI/ML tools is required.
• Experience in higher education or corporate learning environments preferred.