Senior Consultant, AI Strategy – Contract to Hire

Posted 15 hours ago

This is a fully remote position, open to applicants in Arizona, +18 more states.

📋 Description

• Lead AI strategy workstreams for clients from initial discovery to business case development and roadmap creation.

• Oversee AI initiatives and facilitate solution discovery across 2 to 3 client projects.

• Manage the planning, maintain working-level client relationships, and ensure deliverables are signed off.

• Conduct stakeholder and customer interviews, perform workflow walkthroughs, and review data and processes.

• Evaluate AI opportunities for value, feasibility, risk, and data readiness, and provide recommendations for investments.

• Model ROI, total cost of ownership, payback periods, and sensitivity analyses, presenting and defending assumptions to client finance teams.

• Develop AI product strategies, validate features through customer engagement and prototypes, and create MVP-to-scale roadmaps.

• Assist in commercialization efforts through market research, competitive analysis, market sizing, customer profiling, positioning, and pricing strategy input.

• Formulate AI transformation strategies, operating models, and plans for change management and adoption.

• Draft decision briefs, roadmaps, and executive summaries.

• Collaborate with architects and engineers on evaluating solution options, making build/buy/partner decisions, and defining prototype scopes.

• Design and co-facilitate AI workshops, role-specific training, office hours, and materials for adoption.

• Ensure data privacy, human review, and governance considerations are integrated into every recommendation.

• Implement AI throughout client engagements by utilizing and refining reusable templates, frameworks, and AI-assisted workflows.


⛳️ Requirements

• 5 to 8 years of experience in consulting, product strategy, or digital transformation.

• A minimum of 3 years leading AI or machine learning projects with hands-on involvement.

• A consulting background with direct experience in client-facing delivery.

• Industry experience in sectors such as financial services, healthcare, energy and utilities, telecommunications, or private equity.

• Proven ability to lead client workstreams from start to finish with minimal oversight.

• Excellent interviewing and synthesis skills.

• Proficient in financial modeling, including constructing and substantiating business-case assumptions.

• Hands-on experience with LLMs, retrieval-augmented generation (RAG), vector databases, and AI agents.

• Solid understanding of responsible AI practices and governance, including data privacy, human oversight, evaluation, and policy.

• Regular use of AI tools for research, analysis, modeling, and writing, with a focus on output accuracy.

• Exceptional writing and presentation skills suitable for executive audiences.

• Comfortable working with fixed-fee timelines, navigating ambiguity, and transitioning between different engagements.

• Must be based in the US and willing to travel to client sites up to 25% of the time.

• Required residency in one of the following states: RI, CO, AZ, CT, FL, MA, MD, ME, MO, NC, NH, NJ, NV, NY, OR, PA, SC, TN, or UT.

• Preferred qualifications include AI certifications such as OpenAI (AI Foundations), Anthropic (Claude), AWS, Microsoft Azure AI, or Google Cloud.

• Familiarity with AI governance and risk frameworks like NIST AI RMF or ISO/IEC 42001 is a plus.

• Experience conducting market research or willingness-to-pay studies is advantageous.

• Experience in designing training programs, change management, or adoption strategies is a plus.

• Familiarity with NetSuite, HubSpot, or Salesforce is beneficial.


🏝️ Benefits

• Medical, Dental, and Flexible Spending Account (FSA) options.

• 401k plan with a 4% matching contribution.

• Trust-based time off policy.

• Catered lunches provided when working in the office.

• Dog-friendly workplace environment.

• Flexible work arrangements—remote or in-office (locations in Boulder, CO, and Providence, RI).

• Coverage for paid conference attendance and an annual education stipend.

• Generous family leave policy.

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