Director, AI Transformation

TTEC Digital•Austin, TX

17h•$165,000 - $175,000•Remote

About The Position

The Director, AI Transformation is an internally focused leadership role responsible for advancing TTEC Digital’s enterprise AI adoption and turning business needs into deployable AI solutions and agents. The role combines AI transformation and adoption, AI product and program management, business-process identification and optimization, AI agent development and deployment, governance, cross-functional coordination, and executive communication. The Director owns LaunchAI operations end to end, including prioritizing AI development work according to measurable business impact, translating executive direction into an executable program, and guiding AI adoption from individual productivity through departmental workflows to enterprise capabilities. The role leads workflow transformation across practice areas, directs development and scaling of enterprise agents, evaluates and standardizes AI tooling, manages tool consumption and costs, and establishes baseline and post-implementation measurement for targeted workflows. The position leads developers and grows the LaunchAI team, working with portfolio and IT leadership on role definition and hiring. It also owns adoption, communications, and training programs; partners with executive leadership to establish adoption mandates and KPIs; and ensures AI initiatives meet enterprise security, data protection, access control, environment, and responsible AI standards. The Director develops reusable approaches and components for replication across portfolios and feeds demonstrated delivery efficiencies into commercial models.

Requirements

Demonstrated experience leading enterprise AI initiatives from strategy through deployment, adoption, and measurable business outcomes.
Experience building, deploying, or leading AI agent and generative AI initiatives in an enterprise environment.
Strong product management mindset, including prioritizing initiatives and managing solutions from concept and pilot through production and scale.
Ability to translate complex business problems and workflows into actionable AI and technology solutions and bridge business and technical teams.
Strong AI and technology fluency and sufficient technical depth to partner effectively with developers, architects, IT, security, and engineering teams; hands-on coding expertise is not required.
Proven ability to drive organizational adoption and change, including adoption strategies, KPIs, enablement programs, training, and communications.
Experience establishing measurable AI business outcomes, such as productivity gains, cycle-time improvements, cost efficiencies, adoption, or margin impact.
Exceptional executive communication and presentation skills, including communicating AI strategy, recommendations, progress, and results to senior business and technology leaders.
Demonstrated ability to lead cross-functional and technical teams, establish priorities, remove barriers, and drive accountability for results.
Highly proactive and self-directed, comfortable operating in ambiguity, and able to own complex initiatives with limited oversight.

Responsibilities

Own LaunchAI operations end to end, including target workflows, sequencing, transformation patterns, and accountability for results.
Maintain and prioritize an AI development backlog according to measurable business impact.
Translate executive intent into an executable program with named workflows, staged capacity, and targets, and keep the plan current as priorities and tooling change.
Steward the three-tier adoption model, converting grassroots experimentation into supported enterprise capability.
Decide which solutions to build, harden, cost-optimize, democratize, or retire.
Lead targeted workflow transformations from measured baseline through intervention to measured results across practice areas.
Direct transformation of delivery lifecycle workflows in collaboration with delivery leadership.
Direct cross-portfolio workflows, including project management processes and communications, managed services triage and research, and shared IVR and web test harnesses.
Own pan-Digital agents through pilot, beta, general availability, and preparation of the governance package needed to scale them.
Evaluate AI development and productivity tools and agent platforms using defined criteria for capability, cost, security, and fit.
Set and publish AI tooling standards, including which tools are approved, in trial, or unsupported.
Manage AI tool consumption and costs; coordinate vendor and partner relationships, trials, pricing, and security; and re-evaluate the market on a stated cadence.
Establish workflow baselines covering effort, cycle time, and rework before interventions are built, and document before-and-after results against those baselines.
Report AI performance and measured results to leadership, replacing anecdotal claims with quantified outcomes.
Lead LaunchAI developers by setting priorities, removing roadblocks, and protecting their capacity from competing demands.
Define team roles, develop job descriptions, and drive hiring with portfolio and IT leadership; grow the LaunchAI team across partner practice portfolios.
Work with executive leadership to secure and sustain the mandate for LaunchAI tooling and attach adoption KPIs to delivery leadership goals.
Convert proven solutions into delivery methodology, project templates, onboarding, and documented work practices.
Run enablement and engagement activities, including the LaunchAI Agent Hub, AI discussion channels in Teams, AI Zero to Hero sessions, and leader and champion networks.
Own the LaunchAI communications plan and provide regular updates, wins, and release notes through Teams, the LaunchAI site, and leadership channels for a non-technical audience.
Develop and deliver training from new-employee onboarding through role-specific enablement and advanced sessions, keeping materials current as tools change.
Maintain a single channel into enterprise IT for AI work so access, environments, repositories, security review, and lifecycle are addressed from the start of each build.
Uphold enterprise standards for data protection, access control, environment strategy, and responsible AI across LaunchAI solutions.
Develop reusable role definitions, adoption mandate and KPI templates, baseline-and-measure methods, and shared components such as test harnesses, requirements tooling, and triage.
Replicate proven approaches across portfolios, adapting them to each delivery model, and contribute reusable components and evaluation methods to a shared AI tooling library.
Feed proven delivery efficiencies into commercial models so win rate and margin reflect how work is performed.