Finance AI & Automation Enablement Architect

NTT Global Data Centers EMEA UK Ltd.

Hemel Hempstead

On-site

GBP 90,000 - 130,000

Full time

14 days+

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Job summary

NTT Global Data Centers is seeking a Principal Specialist, Finance AI and Automation Enablement to lead hands-on Finance transformation, shaping AI-enabled productivity, data-definition, and reporting improvements.

You will translate Finance pain points into actionable requirements, build proof-of-value material, and drive adoption with executive-ready recommendations, partnering with technology and data teams across geographies.

Qualifications

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, FP&A, controllership, business operations, process improvement, analytics, or technology-enabled Finance change.
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.

Responsibilities

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.