Lead transformation engagements from scope through implementation—defining project objectives, success measures, workplans, risks, governance, and AI opportunity scope jointly with client sponsors.
Manage client sponsors, executive stakeholders, and project teams. Conduct executive presentations and decision meetings. Build relationships with senior client leaders based on trust, candor, and value delivery.
Diagnose constraints across process, people, systems, structure, economics, strategy, data, and decision-making. Lead development of recommendations, business cases, and implementation plans.
Advise clients on AI as a strategic and operational asset. Translate business strategy, process knowledge, and industry understanding into AI-enabled opportunity portfolios. Lead AI opportunity diagnostics, connect AI use cases to business cases, KPIs, adoption plans, and governance needs.
Identify risks involving data quality, privacy, security, compliance, bias, hallucination, workflow disruption, and change resistance. Build executive-level narratives that explain AI value in plain business terms.
Manage project economics, delivery quality, staffing, and profitability. Identify expansion opportunities tied to client value.
Coach consultants and analysts through structured problem solving and responsible AI use. Build reusable methods, templates, case examples, prompt assets, and training materials.
Partner with Anders relationship leaders across tax, audit, and advisory to identify client needs and shape solutions—reflecting the firm's integrated model.
Requirements
6–12 years of experience in management consulting, business transformation, process improvement, strategy, project management, finance transformation, operations, technology, analytics, or advisory leadership.
Proven experience leading client engagements or cross-functional transformation projects with strong executive communication and relationship management skills.
Experience managing scope, budget, timeline, risks, teams, and project economics; ability to develop business cases and measurable performance targets.
Experience leading process improvement, strategy, operating model, change, AI-enabled improvement, automation, analytics, or implementation work.
Strong coaching and quality review capability with a commercial mindset and ability to identify client needs.
Professional services or consulting experience strongly preferred.
PMP, Lean Six Sigma, Theory of Constraints (TOC), Prosci, CPA, CMA, MBA, analytics, automation, or AI-related credentials and methodologies preferred—especially experience using TOC to identify system constraints, increase throughput, and drive enterprise-level performance improvement.