Consultant — Enterprise Change & Transformation

What's New in This Role

From Project-Based to Capability Building This role moves beyond writing communication plans and hosting training sessions for a single software rollout or restructure. The focus shifts to establishing internal Centers of Excellence, coaching line managers to lead their own teams through constant shifts, and creating scalable self-service playbooks so the entire organization becomes resilient to ongoing transformation — not just the current project.

From Activity Metrics to Value Realization Success is no longer measured by output metrics such as emails sent, town halls hosted, or training modules completed. The Consultant uses data and analytics to prove actual behavioral change, tracks real business outcomes, and measures value realization long after a project's go-live date.

Integration of Artificial Intelligence Rather than relying entirely on manual stakeholder mapping, generic templates, and human-crafted messaging, the Consultant utilizes enterprise AI tools to draft communications, analyze employee feedback sentiment, map impact data rapidly, and scale day-to-day practitioner workflows.

Responsibilities

Enterprise Change Capability & Transformation • Support the design and stand-up of client Centers of Excellence (CoE) for change, including governance, playbooks, and role definitions that let the client sustain change practice after AHEAD's engagement ends. • Coach line managers to lead their own teams through continuous, overlapping shifts, building manager-led change capability rather than centralizing it with the project team. • Develop scalable, self-service change playbooks, toolkits, and templates that business units can apply independently to future transformations. • Apply OCM theories and models, such as Prosci and ADKAR, to develop and conduct OCM assessments and plans, adapted for an enterprise, continuous-change context rather than a single rollout. • Analyze change impacts across processes, systems, culture, and people; identify affected stakeholders and understand their needs, concerns, and influence across multiple concurrent initiatives. • Support the development of digital transformation roadmaps and lead defined workstreams that translate business needs into actionable change, adoption, and implementation plans. • Provide change management guidance to project teams and business partners, with an emphasis on building their independent change capability.

Value Realization & Outcome Measurement • Design and track outcome-based metrics — behavioral adoption, productivity, and business KPIs — rather than activity metrics such as communications sent or sessions hosted. • Use data and analytics to demonstrate actual behavioral change resulting from transformation initiatives, and to identify where adoption is stalling. • Establish stakeholder feedback mechanisms, analyze feedback, and recommend adjustments to the change management strategy based on evidence, not activity completion. • Support the identification and tracking of KPIs, surveys, and reports that measure business value realization well beyond a project's go-live date. • Build basic financial and business-case components (cost/benefit, ROI/TCO inputs) that tie change outcomes to the commercial story.

AI-Enabled Change Practice • Utilize enterprise AI tools to draft stakeholder communications, accelerating and improving the quality of first-draft messaging. • Apply AI-based sentiment analysis to employee feedback to surface adoption risk and stakeholder concerns faster than manual review allows. • Use AI-assisted tools to rapidly map change impact and stakeholder data across large or overlapping initiatives. • Identify opportunities to scale day-to-day practitioner workflows (stakeholder mapping, reporting, content drafting) using enterprise AI tools, in place of fully manual methods.

Engagement & Practice Contribution • Manage assigned deliverables and support enterprise change and digital transformation initiatives as part of larger project engagements, exercising judgment with appropriate oversight. • Manage communication across multiple stakeholder groups, including senior leadership, and facilitate team meetings and presentations. • Structure sub-problems within a workstream into a clear analytical workplan, identifying the right analyses, inputs, and sequence of work, and explain to a Manager why the approach answers the client's question. • Develop preliminary hypotheses with guidance from a Senior Consultant or Manager, design analyses that test them, and update the hypothesis when the data disagrees. • Develop a working understanding of project economics on assigned engagements — billing rates, team composition, utilization targets, and margin structure. • Informally coach Associates on the engagement, improving how they structure work, review output, and explain their thinking. • Support at least one practice-building initiative by producing reusable content (playbooks, frameworks, case studies) adopted by other teams. • Own research and analysis for at least one thought-leadership workstream, contributing analytical content to a published point of view or white paper. • Identify follow-on opportunities on current engagements and surface client needs to engagement leadership; contribute to 1–2 proposals or pursuits per year, owning sections of the response with guidance.