Independent Consultant (1099) – Instructional Design Specialist

C2 Labs•Knoxville, TN

1d•Onsite

About The Position

We are seeking a senior-level Instructional Design Specialist with a strong Business Analysis and requirements enablement background to support an on-site engagement at Oak Ridge National Laboratory (ORNL). This role focuses on improving the consistency and quality of requirements gathered and documented by Business Relationship Managers (BRMs), Project Managers (PMs), and other stakeholders who perform BA-like functions in an IT environment without a dedicated Business Analyst role. The consultant will design and deliver practical training, develop reusable templates and job aids, and support integration of improved requirements practices into ORNL’s IT project intake and delivery lifecycle. The consultant is expected to be on-site at ORNL during the engagement for discovery activities, design working sessions, and delivery of instructor-led training and workshops.

Requirements

U.S. Citizenship required
10+ years of combined experience in: Instructional design and delivery (preferably for IT, systems, or technical organizations), Business analysis and requirements elicitation and documentation
Demonstrated ability to translate complex requirements concepts into clear, practical training
Strong facilitation skills for stakeholder interviews, group workshops, and working sessions
Experience developing reusable templates and enablement toolkits
Ability to operate independently in a client environment and manage multiple deliverables with minimal oversight
Must meet ORNL site access requirements
Must comply with applicable information-handling and cybersecurity policies
No security clearance anticipated; onboarding and site access requirements may apply

Nice To Haves

Experience supporting IT project intake processes, readiness criteria, or governance checkpoints
Familiarity with Agile, hybrid, and waterfall delivery environments
Prior experience aligning training and artifacts to tools such as ServiceNow
Relevant certifications preferred (not required): CBAP, PMI-PBA, PMP, SAFe, or similar

Responsibilities

Design and deliver instructor-led training focused on: Best practices for eliciting business and functional requirements from diverse stakeholders, Techniques for facilitating effective requirements discussions, including interviews and workshops, Methods for documenting requirements clearly and consistently without a dedicated BA role, Developing requirements artifacts that support intake readiness and clean handoff into delivery
Develop training materials including slide decks, facilitator notes, participant guides, and hands-on exercises
Deliver engaging, on-site training sessions using real-world scenarios and interactive activities
Develop or refine practical tools for use during and after training, including: Intake-ready problem statement templates, Stakeholder maps and elicitation plans, Interview and workshop agendas with facilitation guidance, Clear, testable, and consistent requirements documentation templates, Acceptance criteria guidance and examples, Requirements quality checklists (clarity, completeness, testability), Intake readiness and delivery handoff checklists and summary formats
Ensure all artifacts are practical, reusable, and easily adopted by BRMs and PMs across projects
Align training content and templates with ORNL’s IT intake environment and tools, including ServiceNow
Provide practical guidance on capturing required information consistently within intake workflows
Support follow-on reinforcement activities, as scoped, such as coaching sessions, office hours, and artifact reviews
Provide a lightweight train-the-trainer package to enable ORNL to sustain the approach over time
Applies AI tools to streamline workflows, enhance analysis, and improve training and documentation outcomes
Understands the strengths and limitations of AI systems and exercises sound judgment in their use
Explores opportunities to leverage AI for content development, consistency checks, and knowledge enablement
Uses AI in alignment with client policies, data privacy standards, and ethical guidelines
Exercises discretion when using AI with sensitive, proprietary, or government information
Demonstrates awareness of bias, accuracy, and risk considerations when leveraging AI tools