TMT GCC: Finance Transformation

1. Consulting Experience Mandatory

- Strong management / business transformation consulting experience.
- Experience taking large TMT clients from diagnosis and strategy through design and implementation.
- Strong problem solving, operating-model design, business-case development and executive stakeholder management.
- Experience with large multinational organisations.

2. TMT Industry Experience — Mandatory Significant consulting exposure to Technology / Software and broader TMT, including enterprise software/SaaS, cloud, telecom, digital platforms or semiconductors.

Experience serving large TMT GCCs is particularly valuable.

3. Finance Transformation — Defining Capability

Deep Finance Transformation experience across the finance value chain.

Mandatory

- Order-to-Cash / Lead-to-Cash transformation

Strong preference for at least two additional areas

- Record-to-Report
- Procure-to-Pay / Source-to-Pay
- FP&A; / Enterprise Performance Management

Experience should include:
- Process redesign and standardisation
- Target operating models / global process ownership
- Automation and technology enablement
- Controls and governance
- Productivity and value realisation

Exposure to SAP S/4HANA, Oracle, BlackLine, HighRadius, OneStream, Anaplan or similar platforms is practical but should not substitute for transformation experience. 4. GCC Experience — Important

Meaningful GCC / GBS experience across several of:

- GCC strategy, setup or expansion; BOT experience valuable
- Finance capability migration
- GCC operating-model design
- Transformation of existing GCCs
- GCC maturity / evolution
- Centres of Excellence / global process ownership
- Global–GCC governance
- Productivity and value realisation





Preference for candidates who have helped finance GCCs move from transaction execution to global capability ownership and transformation. 5. AI / Agentic AI Experience

Practical exposure, preferably within Finance, across:

- Identifying and prioritising Agentic AI use cases
- AI-enabled process redesign
- AI business cases and value quantification
- Pilots / implementation is a big plus
- Human + AI operating models
- Responsible AI, controls and governance
- Change, adoption and workforce upskilling

Evidence of personal Agentic AI capability development should be visible through outcomes delivered, formal learning, prototypes or implemented use cases. Deep AI engineering is not required, but is valuable.

6. Business Development, Bidding & Programme Delivery — Mandatory

Evidence across

Opportunity solution shaping business case bid/commercials mobilisation execution value realisation

Candidates should have participated in:

- Large TMT consulting pursuits
- Large multinational / multi-function programmes
- Solutioning and proposal development
- Executive presentations / orals
- Programme mobilisation and governance
- Quantified outcome delivery

Director emphasis Origination, CXO/GCC relationships, pursuit and commercial leadership, account expansion, large-programme leadership and proposition/team building.

Manager emphasis

Solution design, business cases, proposal participation, client/workstream leadership, team management and hands-on execution.

7. Industry & Ecosystem Exposure — Strong Plus

Particularly valuable exposure through client work, alliances or partnerships with:

- Software: SAP, Adobe, Salesforce, ServiceNow and similar companies
- Hyperscalers: Microsoft, AWS, Google Cloud
- Telecom: Verizon, AT&T; and other global operators

Direct employment is not required.

📌 Director - Finance Transformation (Bengaluru)
🏢 EY
📍 Bengaluru