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Director – Digital Transformation, Integrated Finance

Posted just now
Tata Consumer Products

How does this Job align to our Strategy?


At the core of Tata Consumer Products' business approach lie six strategic pillars that serve as the foundation for its growth and success: Strengthening & Accelerating our Core Business, Driving Digital and Innovation, Unlocking Synergies, Creating a Future-Ready Organization, Exploring New Opportunities and Embedding Sustainability.


This job opportunity closely aligns with the key strategic pillar, which is Driving Digital & Innovation, creating a Future-Ready Organization, and Exploring New Opportunities.

This role is instrumental in reshaping Integrated Finance through digital transformation & innovation, aligning technology, processes, and stakeholder needs to drive strategic agility and operational excellence. The incumbent will bring strong digital acumen, finance domain expertise to deliver scalable, data-driven solutions that enhance visibility, accelerate execution, and improve decision-making across the enterprise. The role demands strong ownership, stakeholder engagement, and a sharp focus on delivering value through scalable, data-driven products


What are the Key Deliverables in this role?


Financial Outcomes

1. Lead the Next Wave of Finance Transformation

• Own and drive the enterprise Finance Digital Transformation agenda across Corporate Finance,

Business Finance, GCC and other Finance functions.

• Build the roadmap for the future of Finance, combining process simplification, standardization,

automation, data, analytics, Generative AI and Agentic AI.

• Reimagine end-to-end Finance processes rather than simply digitizing existing ways of working.

• Drive transformation across Procure-to-Pay (P2P), Record-to-Report (R2R), FP&A, MIS and

management reporting, Taxation, Treasury, Controls, Internal Audit and other Finance processes.

• Establish measurable transformation outcomes and ensure adoption and value realization.


2. Build an Agentic Finance Operating Model

• Develop an agentic framework for Finance, identifying where intelligent agents can automate

activities, augment Finance professionals or fundamentally redesign processes.

• Build a prioritized portfolio of Finance agents across transactional, analytical, reporting, control and

decision-support processes.

• Move Finance progressively from workflow-based automation and RPA towards intelligent and

autonomous execution where appropriate.

• Integrate agents with enterprise platforms, ERP, Finance applications, data platforms and existing

automation.

• Establish appropriate human-in-the-loop controls, governance, security and accountability for AI driven Finance processes.

• Continuously evaluate emerging AI capabilities and translate them into practical enterprise Finance

use cases.


3. Deliver Quantifiable Business Value

Every major transformation initiative should be linked to one or more measurable outcomes:

• Top-line benefit: better commercial decisions, improved revenue realization, working-capital or

business-performance impact.

• Bottom-line benefit: direct cost reduction, leakage prevention, better procurement economics and

operating-cost improvement.

• Efficiency benefit: measurable productivity improvement, FTE/headcount capacity released or

avoided, faster cycle times and greater process automation.

Build a disciplined mechanism to baseline, track and report these benefits rather than measuring

transformation primarily through project delivery.


4. Transform and Partner with the Global Capability Centre

• Partner closely with the Global Capability Centre serving multiple businesses, customers and

geographies.

• Identify opportunities for process consolidation, standardization and automation across the GCC.

• Drive productivity and operating leverage through AI, agents, automation and redesigned processes.

• Help evolve the GCC from a transaction-processing organization towards an increasingly digital,

analytical and AI-enabled Finance capability centre.

• Establish productivity, service, quality and efficiency measures and continuously improve them.


5. Act as the Digital Business Partner to Finance Leadership

• Partner closely with the Group CFO, India CFO, Business Finance CFOs and their leadership teams.

• Understand Finance and business priorities and translate them into transformation agendas and

executable digital products and programs.

• Challenge existing processes and identify opportunities where technology, data and AI can materially

change Finance outcomes.

• Bring an external perspective on emerging Finance practices, platforms and AI capabilities.

• Build strong alignment between Finance, Digital & Technology, GCC, implementation partners and other stakeholders.


6. Standardize and Simplify Finance Processes

• Establish common process architecture and standards across Finance.

• Reduce process fragmentation, unnecessary customization and manual interventions.

• Drive harmonization across businesses and geographies wherever economically and operationally

appropriate.

• Build strong process ownership, controls, KPIs and governance.

• Ensure technology follows the redesigned process rather than automating inefficient legacy processes.


Customer Service

• Partner with Finance leadership to shape and execute the Finance Transformation roadmap.

• Translate business needs into scalable digital products and capabilities that enhance decision-making and user experience.

• Strengthen reporting, governance, and management information frameworks to improve business insight and responsiveness.


Internal Process

• Lead enterprise-wide transformation across P2P, R2R, FP&A, MIS, Taxation, and other finance domains.

• Drive ERP, Data, Analytics, and AI integration to create a connected and future-ready finance operating model.

• Ensure robust governance across data, security, compliance, and digital product delivery while

embedding agile ways of working.

• Lead and safeguard agile methodology and scrum practices to ensure delivery discipline.


Innovation and Learning

• Build digital and AI capabilities across the Finance organization, fostering a culture of innovation and continuous improvement.

• Accelerate adoption of Data, Analytics, Generative AI, and Agentic AI solutions across Corporate Finance, Business Finance, Taxation, Internal Audit, and GCC.

• Establish strategic partnerships and innovation programs to continuously enhance Finance maturity and business value


What are the Critical success factors for the Role ?

Experience

• 12+ years of relevant professional experience. No upper experience limit.

• Significant experience in Finance transformation, Finance business partnering, digital transformation or technology-enabled Finance change.

• Should have either:

• Worked as a Finance Business Partner / Finance transformation leader in a large enterprise,

or

•Anchored major Finance transformation programs as part of a leading consulting or System

Integration organization.

• Demonstrated experience working with senior Finance stakeholders, preferably CFO-level

leadership.

• Experience delivering complex transformation across multiple businesses, functions or geographies.

• Experience working with Shared Services / Global Capability Centres is strongly preferred.


Finance & Transformation Knowledge

Strong understanding and preferably implementation/transformation experience across several of the following:

• Procure-to-Pay (P2P)

• Record-to-Report (R2R)

• FP&A

• MIS and management reporting

• Financial planning and performance management

• Finance data and analytics

• Taxation and controls

• Internal Audit

• Shared Services / GCC

• ERP-enabled Finance processes


The individual does not need to be the deepest functional specialist in every Finance domain, but should understand Finance sufficiently well to challenge processes, engage credibly with CFOs and translate Finance problems into transformation opportunities.


AI and Digital Capability

• Strong understanding of the emerging application of Generative AI and Agentic AI in Finance.

• Ability to identify processes that can be redesigned using agents rather than simply applying

automation to existing workflows.

• Understanding of enterprise data, analytics, ERP and integration architecture.

• Ability to combine Finance process knowledge with technology and AI possibilities.

• Exposure to RPA, intelligent automation and digital Finance platforms is valuable, but the mindset

should extend beyond traditional RPA.


Qualifications

Candidates should have a strong academic foundation from a reputed institution. Relevant qualifications may include:

• CA / ICWA (CMA) or MBA in Finance, General Management or Technology from a premier

institution

• Engineering degree combined with an MBA or significant Finance transformation experience

• Other equivalent professional Finance qualifications combined with substantial transformation

experience

An engineering/technology background combined with strong Finance and business experience would be particularly valuable for this role.

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