Director, Digital Consulting | AI Transformation

JOB SUMMARY:

The Director, Digital Consulting (AI Transformation) leads Trace3's AI agenda across an assigned portfolio of anchor accounts. The Director is accountable for the AI point of view, pattern detection, accelerator development, and AI opportunity shaping across those accounts, while partnering with account leads and regional account leaders who retain primary responsibility for the broader client relationship and account program.

For two to three assigned anchor accounts, the Director is the senior AI Transformation lead within the Digital Account Lead model, maintaining proximity to client needs, executive AI priorities, pursuit shaping, delivery health, and value realization. Across the remaining anchor accounts in the portfolio, the Director shapes AI agendas, frames value, identifies repeatable patterns, and feeds those patterns into accelerators and products that Trace3 can own and sell.

The role is non-billable. Performance is measured by account growth and by influenced revenue and gross profit rather than utilization. Digital Consulting is tool and vendor agnostic, and the Director holds that line when a program could be steered toward a product.

SUMMARY OF ESSENTIAL JOB FUNCTIONS:

What You'll Do

Growth of the AI agenda across an assigned portfolio of anchor accounts.

Executive AI relationships with the CIO, CIDO, CDAO, or equivalent sponsor.

Origination, qualification, shaping, and advancement of AI pursuits, and expansion of AI entry points into broader transformation programs.

Commercial ownership of the AI opportunity in those accounts, including the business case that funds it.

AI and agentic solution and program design, including governance, data readiness, and the sequenced roadmap.

Delivery oversight, including engagement health and fidelity to the client’s business needs.

One cross-account capability theme applied across the portfolio, such as agentic architecture, AI governance, data readiness, value engineering, or adoption and change.

Create reusable methods, frameworks, and technical IP for use with our clients and partners.

Program Shaping and Oversight

Baseline the client's AI estate: current spend, tools in use, maturity, data readiness, governance gaps, and where value is leaking.

Shape AI and agentic solution architectures, including knowledge and domain agents, copilots, AI platforms, data readiness, and governance, tied to business outcomes and enterprise constraints.

Design AI operating models, governance MVPs, and responsible AI standards fit to the client's risk posture, including risk tiering, human oversight, and data and security controls.

Run use case discovery, prioritization, and value forecasting, and produce a portfolio the client can fund and sequence into phases.

Translate architecture and technology decisions into business cases, roadmaps, and executive investment decisions.

Scope the change and adoption work the program needs: process redesign, role and workflow impact, and enablement. Trace3 has no change management owner today, so the Director is accountable for getting it into scope and partnering to deliver it.

Stay close enough to every active engagement to independently understand delivery health, client sentiment, scope, financial position, dependencies, risk, and progress against the business case, and escalate drift.

IP and Framework Development

Contribute to and apply Trace3's AI transformation adoption framework.

Build reusable assets out of design partnerships and delivery outcomes, including value scoring models, use case intake and grading playbooks, readiness and maturity matrices, governance patterns, and AI solutions.

Detect patterns that repeat across two or more accounts and feed them into solution accelerators Trace3 can own and sell.

Produce executive-ready points of view and thought leadership that differentiate Trace3 in the markets the Director works in.

Cross-Business-Unit Orchestration

Assemble approaches, offerings, and go-to-market from across the business units into one coherent program the client can leverage.

Orchestrate account, sales, practice, business-unit, partner, and delivery leaders around one program narrative and one client experience.

Bring in peer Directors and specialists when another domain is required and operate as the AI transformation lead inside another Director's account strategy when the account is theirs.

Work two-in-a-box with account leads and regional account leaders, who retain the client relationship and the broader account program.

Value Realization

Define success measures, exit criteria, adoption plans, and value measurement frameworks at the point of scoping, not after delivery.

Return to delivered programs, measure actual outcomes against the original business case, and report the variance.

Convert proofs of concept into production programs or recommend stopping them.

Feed measured results into references, case material, and accelerator development.

REQUIRED SKILLS AND EXPERIENCE:

Bachelor's degree in a relevant field, Master's preferred. Equivalent experience considered.

10+ years in consulting, enterprise technology leadership, or business transformation, with demonstrated client-facing leadership and measurable outcomes.

Applied AI depth across enterprise AI strategy, agentic and GenAI solution design, AI governance, and data readiness, with the judgment to connect architecture to business value.

Demonstrated account growth including originated and closed enterprise pursuits where the candidate personally shaped the opportunity.

Commercial ownership of a book of business, including forecast accuracy and margin judgment.

Technical credibility with client architects, enough to shape solutions directly in working sessions.

Executive presence and the ability to build investment cases and roadmaps that connect strategy, governance, implementation, and measured value.

Experience staying accountable for delivery outcomes executed by other teams, including recovering engagements the candidate did not personally deliver.

Prior experience in a two-in-a-box or account-team model with sales and delivery partners.

PREFERRED SKILLS AND EXPERIENCE:

Credibility in one or more Trace3 priority markets, including business drivers, regulatory context, and technology landscape.

Track record of building reusable assets from client work that were adopted by others.

Experience with organizational change management and process redesign on technology-enabled transformation programs.

Experience converting proofs of concept into production programs using success measures, exit criteria, adoption plans, and value measurement.

Certifications or credentials in AI, cloud, data, or security platforms.

Actual salary will be based on a variety of factors, including location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base salary.

Estimated Pay Range

$190,000—$230,000 USD