NTT Global Data Centers
Principal Specialist, Finance AI & Automation Enablement
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About us
As the third largest data center provider, we operate over 150 data centers in more than 20 countries and regions. We understand that every business – large and small – has its own unique needs and goals. We offer local-to-global data center expertise, aligned with our connected platform of AI-ready data centers to create solutions that enable our clients to seamlessly scale their digital businesses, anywhere and anytime.
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.
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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 SteerCo 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 use–data 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, cycle time, manual-effort reduction, decision speed, data quality, and business value.
- Identify risks to value capture (low adoption, unclear ownership, weak data quality, limited IT support) and drive mitigation with initiative owners.
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Knowledge & Attributes
- Bachelor’s degree in Finance, Accounting, Business, Information Systems, Analytics, Engineering, Economics, or related discipline (or equivalent experience).
- Multiple years of progressive experience across finance transformation, finance systems, strategic initiatives, FP&A, controllership, business operations, process improvement, analytics, or technology-enabled Finance change.
- Multiple years of supporting enterprise-scale transformation involving Finance processes, ERP or adjacent Finance systems, automation adoption, reporting, operating-model change, or shared services.
- Demonstrated experience shaping, testing, documenting, or operationalizing Finance use cases, templates, dashboards, workflow concepts, automations, or AI-enabled prototypes, in partnership with technology owners where appropriate.
- Demonstrated experience translating business needs into problem statements, Finance requirements, use-case briefs, roadmaps, KPIs, adoption plans, and executive-ready materials.
- Experience representing Finance users in technology-enabled initiatives by clarifying requirements, validating outputs, coordinating testing feedback, supporting adoption, and tracking business value.
- Experience in a global, matrixed organization; experience in a data center, infrastructure, real estate, construction, or other capital-intensive, high-growth environment preferred.
- Strong understanding of Finance transformation, operating-model design, process standardization, ERP-enabled change, automation adoption, reporting, controls, and value realization.
- Intermediate-to-advanced practical fluency with AI-enabled work, prompt design, approved low-code tools, workflow concepts, and data visualization.
- Strong Finance data literacy, including working with structured data, defining business requirements,
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