Senior Consultant, AI Strategy (Contract to Hire)

About MojoTech

MojoTech is an innovative technology consulting firm that leverages strategy, design, data, and software engineering to create results-driven, AI-enabled, digital products and experiences.

We partner with our clients to discover and build tomorrow’s intelligent innovations, empowering every company to unlock future market potential, maximize returns on innovation, and drive transformational change.

Role Overview

MojoTech is hiring a Senior Consultant in AI Strategy on a contract-to-hire basis. You will lead client AI strategy workstreams from discovery through business case and roadmap, working in a cross-functional team with oversight from the Director of AI Strategy.

Location: Remote, US

Employment type: Contract to hire, full time (3-month initial contract)

Reports to: Director of AI Strategy

Travel: Up to 25%

Compensation: $120,000 to $150,000 base salary on conversion to full time

Our AI Strategy practice takes clients from strategy to production using MojoTech's 7-Phase AI Value Activation Framework. Clients follow a Growth track, to unlock new revenue with AI products and features, or an Efficiency track, to cut operating costs and add capacity with agentic workflows. You will deliver across our four AI offerings:

• AI Investment Workshop: a short executive decision sprint that narrows a long list of AI ideas to one or two stress-tested opportunities and a board-ready investment brief.
• Forward Deployed AI Innovation Pod: an embedded sprint where an AI Strategist and a Forward Deployed Engineer find high-signal opportunities, build proof-of-value prototypes and assess data readiness.
• AI Transformation Strategy: a multi-week engagement that helps executives use AI to improve operational efficiency, ending with working prototype concepts, a board-defensible investment decision and an engineering handoff.
• AI Product Strategy: a multi-week engagement that de-risks AI product investment, ending with validated prototypes and an MVP-to-scale roadmap.

Responsibilities

You will lead AI initiatives and drive solution discovery on 2 to 3 client engagements, with the Director of AI Strategy owning executive relationships and final recommendations.

• Lead workstreams day to day. Own the plan, the working-level client relationship and the deliverable through to sign-off.
• Run discovery. Lead stakeholder and customer interviews, workflow walkthroughs, and data and process reviews, then synthesize them into clear findings.
• Prioritize AI opportunities. Assess each one on value, feasibility, risk and data readiness, and recommend where to invest.
• Build the business case. Model ROI, total cost of ownership, payback and sensitivity, and defend the assumptions with client finance teams.
• Shape AI product strategy. Identify which AI features belong on the product roadmap, validate them with customers and prototypes, and sequence them from MVP to scale. Support commercialization through market and competitive research, market sizing, customer profiles, positioning, and input to pricing and packaging, working with research partners.
• Shape AI transformation strategy. Map how work gets done today, find where AI and agentic workflows can cut cost and effort, and build the roadmap, operating model, change management and adoption plan to capture the value.
• Write for decision makers. Turn findings into decision briefs, roadmaps and executive readouts.
• Partner with technical teams. Work with architects and engineers to define solution options, weigh build, buy or partner, and scope prototypes.
• Teach and enable. Design and co-deliver AI workshops, role-based training, office hours and adoption materials.
• Build in responsible AI. Address data privacy, human review and governance in every recommendation.
• Deliver with AI. Use AI throughout your client work, applying and refining reusable templates, frameworks and AI-assisted workflows to deliver faster and more consistently.

Desired Skills & Experience

• 5 to 8 years across consulting, product strategy or digital transformation, including at least 3 years leading AI or machine learning projects and doing hands-on work yourself.
• Consulting background with direct client-facing delivery experience.
• Industry experience in financial services, healthcare, energy and utilities, telecommunications or private equity.
• A track record of leading client workstreams end to end with limited oversight.
• Strong interviewing and synthesis skills: you turn messy input into structured findings and a clear point of view.
• Financial modeling skills: you can build a business case in a spreadsheet and defend every assumption.
• Applied, hands-on knowledge of LLMs, retrieval-augmented generation (RAG), vector databases and AI agents: how they work, where they fail and what they cost, used in real client or product work.
• Practical command of responsible AI and AI governance, including data privacy, human oversight, evaluation and policy, applied to client recommendations.
• A habit of using AI tools daily to research, analyze, model and write faster, while checking the output.
• Executive-ready writing and presentation skills.
• Comfort with fixed-fee timelines, ambiguity and switching between engagements.
• US-based, with the ability to travel to client sites up to 25% of the time.

Nice to have

• AI certifications, such as OpenAI (AI Foundations), Anthropic (Claude), AWS, Microsoft Azure AI or Google Cloud.
• Experience with AI governance and risk frameworks such as the NIST AI RMF or ISO/IEC 42001.
• Experience running market research or willingness-to-pay studies.
• Experience designing training, change management or adoption programs.
• Familiarity with enterprise systems and data platforms such as NetSuite, HubSpot or Salesforce.

Flexible Working Environment

We offer a flexible working model, allowing employees to choose between remote work, on-site work in our offices located in Boulder, CO, and Providence, RI, or a hybrid of both. We also welcome candidates based in Phoenix, AZ as we continue to expand our presence in this area.

*This job is remote, but requires you to be located 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.

While the role is remote, preference will be given to candidates within commuting distance to our offices in Boulder, CO or Providence, RI or located in Phoenix, AZ.

Benefits

• Base salary $120,000 - $150,000
• Medical, Dental, FSA
• 401k with up to 4% match
• Trust-based time off
• Catered lunches when in office
• Dog-friendly offices
• Remote or in office (offices in Boulder, CO and Providence, RI)
• Paid conference attendance/yearly education stipend
• Generous family leave policy