(Sr.) Manager - Process Consulting - BPM, Pune

Department: Business Process Management (BPM) - Finance & Accounting Practice

Location: Pune (with travel as required)

Reports To: Finance & Accounting Practice Leader

Role Type: Client-facing Process Consulting / Transformation Leadership

Job Summary

We are seeking dynamic and experienced professionals to lead Finance & Accounting (F&A) process consulting engagements and technology-enabled finance transformation programs across diverse industries. This role is pivotal in driving measurable business outcomes through operating model redesign, process optimization, automation, analytics, and strong data/control foundations. The candidate will shape the finance technology landscape in partnership with IT (CIO/CTO organizations), ensuring scalable, secure, and integrated solutions aligned to enterprise architecture, risk, and compliance expectations.

Why Join Us

.Work with leading global clients on high-impact finance transformation and digital enablement programs.

.Be part of a collaborative and innovative team shaping the future of finance through process, data, and technology.

.Access continuous learning, leadership development, and accelerated career growth opportunities.

Key Success Outcomes (What Good Looks Like)

.Reduced close cycle time (e.g., faster month-end/quarter-end close) through standardization and close automation.

.Improved straight-through processing (STP) rates and reduced manual effort across P2P and O2C via automation and controls.

.Improved finance data accuracy, lineage, and auditability through robust data governance and reconciliation frameworks.

.Measurable cost-to-serve reduction and productivity gains via operating model changes and digitization.

.Improved decision support through governed analytics, KPI frameworks, and self-service reporting.

Key Responsibilities

.Lead end-to-end process consulting engagements for F&A functions (P2P, O2C, R2R, FP&A, Treasury, Tax), including diagnostics, future-state design, and implementation of transformation initiatives.

.Assess current-state processes using data-driven diagnostics to identify opportunities for optimization, automation, digitization, and control strengthening.

.Design future-state Target Operating Models (TOM) aligned with business objectives, shared services/GBS principles, and industry best practices.

.Co-own and shape the finance application and data architecture in partnership with IT and enterprise architects, ensuring coherent integration across ERP and best-of-breed SaaS tools (API/batch integration patterns, data flows, and system interoperability).

.Advise on and help select technology solutions across ERP, close automation, spend/procurement platforms, analytics, RPA, and AI-ensuring architectural fit, scalability, security, and sustainable run operations.

.Define and enforce finance data governance: master data standards (vendor/customer/COA), data quality controls, data lineage, reconciliation frameworks, and access controls/Segregation of Duties (SoD) in line with audit and compliance needs.

.Identify, prioritize, and govern automation opportunities including RPA and intelligent automation (OCR/IDP, AI/ML), ensuring value realization, explainability/traceability where needed, model risk considerations, and compliance alignment.

.Develop transformation roadmaps, business cases, and value-tracking mechanisms with clear KPIs (close cycle time, automation rate, STP %, cost savings, control effectiveness, accuracy/rework reduction).

.Partner with CIO/CTO organizations, system integrators, and SaaS vendors to manage delivery dependencies, integration risks, and long-term scalability.

.Support pre-sales/operations sales: discovery workshops, solutioning, proposals, pitches, and pricing contribute to reusable assets and accelerators.

.Mentor and guide team members, fostering a culture of delivery excellence, learning, and continuous improvement.

.Stay abreast of industry trends, regulatory changes, and emerging technologies impacting the F&A landscape translate them into practical client recommendations.

Required Qualifications

.Master's degree in Finance, Accounting, Business Administration, or related field CA or MBA preferred.

.3-5+ years of experience in finance transformation, process consulting, or advisory/service delivery roles (with at least 3 years in transformation/process consulting).

.Strong understanding of core F&A processes: P2P, O2C, R2R, FP&A, Treasury, and Tax.

.Experience designing and/or implementing integrated finance technology ecosystems-ERP (SAP S/4HANA or Oracle Cloud) plus relevant platforms for close automation, spend management, analytics, and automation-with working knowledge of data models and integration patterns.

.Working knowledge of governance and controls: data governance, SoD/access controls, audit readiness, and reconciliation/close controls.

.Ability to define and track transformation metrics and communicate outcomes to senior stakeholders.

.Excellent communication, stakeholder management, and executive presentation skills willingness to travel as required.

Preferred Skills

.Hands-on exposure to tools/platforms such as SAP S/4HANA, Oracle Cloud ERP, BlackLine, Coupa, Power BI (or equivalent) and automation platforms (RPA/IDP).

.Experience in shared services or Global Business Services (GBS) environments operating model transitions and service management.

.Exposure to process mining / process intelligence and value realization governance.

.Exposure to integrated reporting frameworks and enterprise performance management concepts.

.Certifications in Lean Six Sigma, PMP, Agile, or relevant transformation methodologies.

Sample Transformation KPIs (Illustrative)

.Close cycle time reduction (days) and improved on-time close adherence.

.Automation rate (% of transactions automated) and STP (straight-through processing) % for P2P/O2C.

.Reduction in manual journal entries and reconciliation exceptions improved audit findings/controls effectiveness.

.Cost savings / productivity improvement (FTE hours saved, cost-to-serve reduction).

.Data quality improvements (error rates, rework reduction, master data compliance).

.Adoption metrics for analytics (active users, decision-cycle time reduction, KPI availability/latency).