Principal Specialist, Finance AI & Automation Enablement

Your role at a glance The Principal Specialist, Finance AI and Automation Enablement (m/f/d), is a hands-on Finance transformation role focused on helping NTT GDC Finance identify, shape, test, and adopt practical AI-enabled productivity, process improvement, reporting, and decision-support use cases. Positioned within Finance, the role translates real Finance pain points into clear business requirements, controlled proof-of-concepts, reusable templates, prompt libraries, adoption materials, value measures, and executive-ready recommendations.

As NTT GDC expands into new geographies and grows its data center development pipeline, this role helps surface Finance process, reporting, data-definition, approval, and control implications early so they are clearly framed for Finance leaders, process owners, and technology partners. This role is Finance-led and business-outcome focused; it does not own enterprise technology strategy, architecture, production deployment, or platform governance.

Key Responsibilities:

AI, Automation & Finance Use-Case Enablement Identify and prioritize AI and automation opportunities by grounding use cases in real workflow friction, manual effort, recurring reporting needs, and data-quality pain points. Scope Finance use cases, create low-risk prototypes, mockups, examples, or proof-of-value materials using approved enterprise tools, and coordinate with technology owners before any broader deployment or production use. Develop business-owned templates, analytical models, trackers, prompt libraries, reporting concepts, and workflow improvement ideas that improve Finance speed, consistency, and transparency.

Apply practical product-style ways of working to Finance use cases, including user stories, backlog prioritization, iterative testing, user feedback, adoption planning, and value measurement. Document business purpose, Finance requirements, data sources, assumptions, limitations, control considerations, adoption needs, and handoff requirements for sustainment or scaling. Finance Process, Data & Technology Partnering Represent Finance business needs by translating process pain points, reporting gaps, control considerations, and user requirements into clear Finance-side inputs for technology, data, reporting, and automation partners.

Assess current-state Finance pain points, process dependencies, data flows, reporting gaps, and manual workarounds to inform Finance Transformation priorities and technology-enabled improvement opportunities. Support Finance stakeholders in articulating requirements for ERP, reporting, automation, AI, and data-definition initiatives, ensuring Finance process, reporting, and control needs are represented. Promote stronger Finance data discipline by helping teams define trusted sources, standard definitions, reporting logic, quality checks, and ownership expectations across Finance processes.

Partner with technology, data, ISO, and change teams where appropriate to ensure Finance use cases are reviewed, governed, tested, adopted, and sustained through the right channels. Strategic Initiatives, Governance & Executive Storytelling Support strategic Finance initiatives that connect organization, process, systems, data, and business-growth priorities into executable plans. Translate ambiguous business needs into problem statements, solution options, value cases, and decision-ready recommendations.

Develop executive-ready narratives for Finance Transformation what changed, why it matters, what value is being created, and what decisions are required. Create high-quality materials for CFO, Finance leadership, and Steer Co audiences, including transformation updates, business cases, roadmaps, and value-realization reporting. Maintain a prioritized backlog of AI, automation, and strategic-initiative opportunities, and run disciplined governance routines (cadence, RAID and decision logs, dependency and benefit tracking, escalation).

Capability Building, Adoption & Value Realization Build practical AI and automation capability across Finance through peer learning, office hours, use-case showcases, templates, and hands-on experimentation sessions. Coach Finance users on responsible AI and automation usedata sensitivity, review discipline, tool limitations, control requirements, and appropriate human judgment. Partner with Change Management and Communications so new tools and process changes are clearly explained, adopted, and sustained.

Define and track success metrics adoption,…