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Sand Technologies

Enterprise AI solutions, automation and analytics

Change Manager

Human Capital & Change ConsultingConfirmed live in the last 24 hours
ContractBaltimore, MD, USANo salary listed

About the Job

Requirements

  • 10+ years of experience leading large-scale digital, AI, analytics, or operational transformation programs within complex enterprise or public sector environments.
  • A proven track record driving executive alignment, organizational adoption, and operating model transformation for enterprise technology initiatives.
  • Experience working across senior leadership, operational stakeholders, and technical teams to embed new ways of working and drive measurable business outcomes.
  • Strong understanding of AI/ML-enabled operating models, governance, stakeholder management, and behavioral change in complex organizations.
  • Ability to operate in ambiguous, fast-paced, and politically sensitive environments with multiple stakeholders and competing priorities.
  • Ability to translate complex technical concepts into clear business narratives for executive and other audiences.
  • A recognized change management certification, such as Prosci or CCMP, or equivalent transformation leadership experience.
  • Comfort operating in small teams while contributing to larger, globally coordinated efforts.
  • A strong sense of ownership, self-motivation, discipline, and ability to maintain clear, consistent communication through virtual collaboration tools and video conferencing.
  • Availability to work regularly on-site in Baltimore and travel to client locations, with 75% travel required.

Responsibilities

  • Drive measurable adoption and operational integration of the Baltimore Intelligence Center’s AI-enabled products, workflows, and operating model across city stakeholders and agency partners.
  • Lead executive stakeholder engagement, alignment sessions, and decision-readiness activities across the delivery center, agency leadership, and operational teams.
  • Design and operationalize governance forums, operating cadences, escalation paths, and feedback loops that embed Intelligence Center products into day-to-day decision-making and city operations.
  • Develop and implement change management, communications, and adoption strategies that build user trust while minimizing organizational resistance across public sector environments.
  • Conduct stakeholder impact assessments, organizational readiness evaluations, and adoption risk analyses across multiple departments and user groups.
  • Develop trust-building and adoption strategies for AI-enabled decision-support systems, including communication of model outputs, governance practices, explainability principles, and human-in-the-loop workflows.
  • Design and execute executive communications, sponsor roadmaps, coaching plans, training programs, and resistance management plans tailored to technical and non-technical audiences.
  • Work with product, engineering, data science, and delivery teams to integrate change management activities into the overall deployment roadmap and operating model.
  • Ensure successful onboarding, operating model adoption, workflow integration, and sustained usage of Intelligence Center products in real operational environments.
  • Own adoption KPIs, behavioral change metrics, operational usage reporting, and stakeholder feedback mechanisms across the engagement.
  • Surface organizational blockers, alignment risks, and adoption challenges early, and drive coordinated mitigation plans with city leadership and delivery teams.
  • Support capability transfer and organizational readiness efforts that enable Baltimore City teams to sustain and extend the Intelligence Center operating model beyond the vendor-led implementation phase.

Desired Qualifications

  • Experience in consulting, enterprise transformation, or public sector modernization environments, such as BCG, Accenture, Deloitte, McKinsey, or Slalom.

About the Company

Sand Technologies

Enterprise AI solutions, automation and analytics

Sand Technologies provides AI solutions for enterprises and industries, using advanced data science to help clients automate processes, generate predictive insights, and build custom models. Its products are tailored AI applications that combine automation, predictive analytics, and specialized modeling to meet each client’s needs. The company serves large corporations and niche sectors worldwide, differentiating itself through customized, scalable AI deployments rather than one-size-fits-all products, and by building long-term partnerships. The goal is to help clients solve complex challenges, improve efficiency, and drive innovation by adopting scalable AI solutions under project-based, subscription, and long-term service contracts.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Not listed
Founded
2023

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