Senior Manager Data Analytics, Technology & Innovation
On-siteHyderabad, Telangana, India
Job Summary
Lead Corporate Audit's data analytics, automation, and technology innovation initiatives by executing the department's technology strategy and overseeing audit technology platforms. Design data structures, develop critical metrics, and deliver reporting solutions that support audit planning, scoping, execution, and risk assessment. Extract, transform, and combine data from multiple sources to enable meaningful insights across the audit universe while driving automation to reduce manual effort. Partner with IT, business partners, and external vendors to identify technology-enabled opportunities that improve audit effectiveness. Provide production support for data processes and deliver technical training to upskill staff, ensuring continuous improvement of the technology ecosystem. International and domestic travel up to 10% may be necessary.
Required Qualifications
- Doctorate degree and 8 years of data analytics, audit, finance, information systems, or related experience
- Master's degree and 10 years of data analytics, audit, finance, information systems, or related experience
- Bachelor's degree and 12 years of data analytics, audit, finance, information systems, or related experience
- Associate's degree and 14 years of data analytics, audit, finance, information systems, or related experience
- High school diploma / GED and 14+ years of data analytics, audit, finance, information systems, or related experience
- Travel: International and domestic travel up to 10% may be necessary to support clients, audits, or training
Desired Qualifications
- 12+ years of demonstrated success in roles involving business process analysis, data analysis, audit analytics, audit automation, or large technology-related projects
- Experience applying data analytics within internal audit, compliance, finance, information systems, SOX, or risk management processes
- Experience with audit analytics, computer-assisted audit techniques, continuous risk monitoring, exception-based testing, or data-driven audit planning and scoping
- Knowledge of internal audit standards, risk management, governance, controls, and audit methodology
- Pharmaceutical, biotechnology, healthcare, finance, compliance, internal audit, external audit, or Fortune 500 experience
- Experience identifying, analyzing, interpreting, and communicating trends or patterns in complex data sets
- Proficiency with data cleansing, blending, validation, transformation, and analysis using tools such as Alteryx Designer, Databricks, SAS, Python, SQL, or similar technologies
- Experience developing dashboards and visual analytics using Tableau, Power BI, or similar visualization platforms
- Experience with automation technologies and workflow tools such as Power Automate, UiPath, AuditBoard (Optro), Smartsheet, Microsoft Forms, or similar platforms
- Familiarity with enterprise applications and data sources such as SAP, Concur, Workday, C3, Veeva, AuditBoard (Optro), data lakes, or enterprise data warehouses
- Strong project management skills, including the ability to manage multiple priorities, meet deadlines, and coordinate cross-functional stakeholders
- Excellent communication skills, including the ability to explain complex technical concepts to non-technical audiences and collaborate effectively with individuals at all levels
- Ability to work successfully in a highly matrixed environment with audit teams, technology teams, business partners, and external vendors
- Self-motivated, detail-oriented, comfortable with ambiguity, and able to thrive in a fast-paced, demanding, and dynamic work environment
- Professional certifications such as CIA, CISA, CPA, CISSP, CRISC, CISM, CGEIT, PMP, or relevant data analytics / technology certifications
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.