AI-Native Transformation & Delivery Lead — Cambridge, MD

Description

AI-Native Transformation & Delivery Lead

CONTINGENT UPON ANTICIPATED JANUARY 2027 WORK

This position is contingent upon the company securing the anticipated work in January 2027. Candidate consideration may occur before the decision; however, any offer, start date, and onboarding depend on the work being secured and authorized to proceed. January 2027 is the anticipated work decision period, not a guaranteed start date.

Position Summary

A senior, client-facing transformation consultant who combines Agile and SAFe delivery expertise with practical AI-native capabilities. The role helps organizations integrate AI into team practices, workflows, decision-making, and delivery approaches; guides leaders and teams through iterative experimentation and adoption; and connects transformation investments to demonstrable improvements in outcomes. Responsibilities are intentionally framed across transformation and delivery contexts and do not presume ownership of any specific contract, Agile Release Train, or portfolio.

Requirements

Key Responsibilities

• Advise client leaders and delivery stakeholders on practical opportunities to incorporate generative AI, AI-assisted delivery, agentic workflows, and effective human-AI collaboration into ways of working.

• Lead discovery, facilitate cross-functional workshops, and translate organizational constraints and opportunities into achievable transformation priorities, roadmaps, and improvement experiments.

• Apply Agile and SAFe principles to align strategy and portfolio priorities with iterative delivery, feedback, learning, and measurable value.

• Help teams evaluate, pilot, adopt, and scale AI-enabled capabilities that improve planning, execution, decision-making, knowledge work, and service delivery.

• Guide teams in redesigning working agreements, accountability, human oversight, escalation paths, and controls appropriate to AI-assisted processes.

• Coach executives, product and delivery leaders, and teams through change, resistance, capability development, and sustainable adoption—beyond simply facilitating ceremonies.

• Facilitate transparent planning, demonstrations, retrospectives, and feedback forums as appropriate; focus on removing delivery barriers rather than prescribing a fixed operating structure.

• Partner with technical, operational, security, and organizational-change specialists to assess feasibility, responsible AI considerations, and integration into existing practices.

• Define baselines and track adoption, delivery effectiveness, productivity, decision quality, capacity, and benefits realization; communicate risks, learning, and recommended adjustments to leadership.

Required Qualifications

• Bachelor’s degree in Business, Information Systems, Engineering, Organizational Development, or a related field, or equivalent relevant experience.

• 8+ years of experience in Agile delivery leadership, transformation consulting, organizational improvement, or related senior client-facing roles.

• Strong practical experience applying Agile methods and SAFe principles to complex, cross-functional delivery and continuous improvement.

• Experience advising leaders, facilitating stakeholder sessions, guiding organizational change, and aligning work to business priorities.

• Practical experience with generative AI, AI-assisted delivery, agentic workflow concepts, and human-AI collaboration; software coding is not required.

• Ability to help teams experiment, assess adoption and delivery impact, and scale useful capabilities through iterative feedback.

• Strong executive communication, facilitation, analytical problem-solving, and consultative relationship-management skills.

Preferred Qualifications

• Experience in scaled Agile environments, including portfolio alignment, value streams, cross-team delivery coordination, and improvement measurement.

• SAFe Practice Consultant (SPC) certification preferred, not required, unless specific contract qualifications subsequently require it.

• Experience designing or supporting AI-enabled operational or delivery transformations, including responsible AI adoption and human oversight.

• Experience supporting federal government, healthcare IT, or other complex, regulated organizations.

• Change management, coaching, product leadership, or other relevant transformation credentials.

Measures of Success

• Teams demonstrate practical adoption of useful AI-assisted capabilities and more effective human-AI ways of working.

• Improvements in delivery effectiveness, throughput, productivity, decision quality, workforce confidence, or other agreed outcomes are measured against baselines.

• Leaders have clear priorities, transparent risks, feedback mechanisms, and evidence of realized business value.

• New capabilities and improvement practices are sustained through ownership, coaching, and continuous learning.