Audit Lead-COE & Analytics

Job Requirements

Job Title: Audit Lead-COE & Analytics

Department/Function: Internal Audit

Job Purpose:

The Audit Lead – COE & Analytics is responsible to lead a blended team of functional auditors and technical specialists to design, develop, and scale exception reports for audit test points, digitize and automate manual audit work, and drive the Internal Audit function’s digital transformation using Python, PySpark, SQL, Generative AI (GenAI), and RPA. Own project delivery, stakeholder management, and governance to achieve measurable outcomes aligned to departmental goals.

Roles & Responsibilities:

Audit Automation & Analytics Leadership

- Drive projects such as Continuous Control Monitoring (CCM), Robotic Process Automation, Generative AI, and other process improvements as per AOP.
- Oversee end‑to‑end solutions across data extraction, transformation, validation, and deployment
- Drive adoption of analytics and advanced technologies (Python, PySpark, AWS, SQL, Power BI, VBA) and scale reusable assets.
- Drive data extraction, transformation, and validation for audit analytics.
- Drive run and support for existing projects, ensuring timely issue resolution
- Lead preliminary project planning and establish direction to the team, manage projects to quality outcomes within time budgets.
- Identify critical areas for continuous monitoring and develop necessary exception reports.
- Foster a collaborative learning environment and promote collective ownership of responsibilities.
- Demonstrate continuous engagement on open indents/projects; implement governance for all projects.
- Support ad‑hoc regulatory submissions on time/quality.
- Optimize budget utilization; identify cost‑saving opportunities; pursue audit‑led savings/revenue leakage detections.

Project & Delivery Management

- Define scope, milestones, and timelines; track risks and dependencies; implement governance for automation projects and data indent delivery.
- Ensure quality/timely delivery and run‑support for live projects; manage issue resolution and post‑implementation reviews.
- Establish standards for solution design, coding practices, peer reviews, and documentation (BRD/FSD/UAT, logic repositories, workflow diagrams
- Define and manage project plans, timelines, and deliverables.
- Coordinate cross-functional teams (audit, IT, data engineering).
- Monitor progress, manage risks, and ensure timely delivery.
- Prepare BRD, FSD, UAT documentation, and manage issue resolution.

Data Indent Delivery and Support

- Complete data indents and provide run and support to existing audits.
- Ensure timely delivery of data requests with quality standards.

People Management & Capability Building

- Hire, coach, and motivate a high‑performing team; run knowledge‑sharing, code reviews, and quarterly feedback sessions; onboard new joiners effectively.
- Drive learning goals (data science, GenAI, new technologies) through training calendars and mandated courses.

Stakeholder Management

- Conduct regular meetings with stakeholders for better collaboration.
- Prepare and deliver presentations for senior management.
- Gather feedback and incorporate improvements into automation projects.
- Provide regular updates and escalate issues promptly.
- Fortnightly cadence with senior stakeholders during project execution; quarterly catch‑ups with IDP & Platform Teams; timely feedback collection.
- Maintain regular cadences with vertical heads, BIU, IDP and Platform Teams; provide clear status, dashboards, and executive readouts to senior management/IACC.
- Gather feedback and incorporate improvements; escalate issues proactively

Process Improvements

- Identify opportunities for process optimization and automation.
- Research emerging technologies and propose innovative solutions.
- Drive continuous improvement initiatives within audit analytics.

Risk, Compliance & Governance

- Support internal and regulatory submissions, including RBI-mandated audits.
- Maintain proper documentation and governance processes.

Educational Qualifications: Bachelor’s/master’s in technology/computer applications/science/business; CA preferred.

Experience:

- 10 to 18 years in audit analytics/automation, project management in Banking/IT/Fintech; prior leadership of Internal Audit automation projects highly desirable.
- Techno‑functional: audit automation, BRD/FSD/UAT documentation, stakeholder management, change leadership.
- Data/Engineering: SQL, Python (incl. PySpark); AWS/Hive/Impala; Power BI; ServiceNow; MS Office.
- Automation: RPA platforms; CCM governance/process design; VBA/CDP2 usage.
- Soft skills: communication, presentation, organization, risk management.
- Skills and Attributes
- Strong techno-functional expertise in audit automation.
- Proficiency in SQL, Python, and data analytics tools.
- Excellent BRD/FSD drafting and project management skills.
- Familiarity with Core Banking Systems.
- Exceptional communication, organizational, and presentation skills.
- Ability to manage stakeholders and drive change.
- Innovative mindset with attention to detail.