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Director, Enterprise Transformation & Digital Enablement

Job in Herndon, Fairfax County, Virginia, 22095, USA
Listing for: Constellis
Full Time position
Listed on 2026-10-08
Job specializations:
  • IT/Tech
    Change Management, AI Business & Operations
  • Business
    Change Management, AI Business & Operations
Job Description & How to Apply Below
Job Description POSITION SUMMARY The Director, Enterprise Transformation & Digital Enablement leads enterprise-wide efforts to simplify work, improve operating efficiency, optimize resource utilization, and accelerate responsible adoption of automation, artificial intelligence, and digital tools. This role partners with executive, functional, and operational leaders to identify high-value opportunities, redesign processes, implement scalable solutions, and deliver measurable business outcomes. The Director serves as an enterprise change agent and hands-on subject matter expert, combining business process reengineering, Lean and Six Sigma disciplines, automation, data analytics, change management, and technology enablement to create a more efficient, agile, and digitally enabled organization.

KEY RESPONSIBILITIES Enterprise Transformation Strategy and Governance Develop and execute a multi-year enterprise transformation and digital enablement roadmap aligned with the Company's strategic priorities, operating model, growth objectives, and financial goals.

Partner with executive leadership to identify, prioritize, and sponsor initiatives that improve productivity, scalability, service quality, employee experience, and customer outcomes.

Establish governance for transformation initiatives, including intake, prioritization, sponsorship, resource planning, risk management, stage gates, performance reporting, and benefits realization.

Create practical evaluation criteria that balance strategic value, implementation complexity, organizational readiness, risk, cost, and expected return.

Provide clear, timely reporting to executive leadership on the transformation portfolio, delivery progress, risks, resource requirements, financial impact, and realized benefits.

Process Optimization and Continuous Improvement Lead cross-functional process reviews to identify bottlenecks, duplication, manual effort, control gaps, inconsistent practices, and non-value-added activities.

Document current-state processes and design simplified, standardized, and scalable future-state workflows using Lean, Six Sigma, Kaizen, value-stream mapping, and business process reengineering methods.

Facilitate workshops with process owners and subject matter experts to diagnose root causes, challenge existing assumptions, and develop sustainable solutions.

Establish process ownership, standard operating procedures, controls, service levels, key performance indicators, and continuous improvement routines.

Build organizational capability by coaching leaders and teams on structured problem solving, operational excellence, and continuous improvement practices.

Automation, Artificial Intelligence, and Digital Enablement Identify and implement opportunities to automate repetitive, manual, high-volume, and rules-based work through workflow automation, robotic process automation, low-code and no-code platforms, artificial intelligence, and other digital solutions.

Translate business challenges into clearly defined use cases, requirements, business cases, implementation plans, and measurable outcomes.

Partner with Information Technology, cybersecurity, legal, compliance, data owners, and business leaders to ensure solutions are secure, supportable, compliant, appropriately governed, and aligned with enterprise architecture.

Establish responsible-use practices for artificial intelligence, including appropriate human oversight, data protection, model risk considerations, access controls, testing, documentation, and monitoring.

Evaluate emerging technologies and external partners based on business value, total cost of ownership, scalability, security, integration requirements, and organizational readiness.

Drive adoption of Microsoft Power Platform, Power Automate, Power BI, Copilot, and other approved technologies that improve productivity, insight, and decision-making.

Data, Analytics, and Performance Management Define quantitative baselines, targets, and success measures for transformation initiatives, including cycle time, quality, cost, capacity, service level, risk reduction, and user adoption.

Develop dashboards, scorecards, and executive reporting that provide transparent insight into operational performance and transformation results.

Use data and process analytics to identify trends, root causes, control weaknesses, and improvement opportunities.

Ensure claimed efficiencies and savings are validated, tracked, sustained, and incorporated into operating plans and budgets where…
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