Manager, Internal Audit, Risk and Analytics, Investigations

Manager, Internal Audit, Risk and Analytics, Investigations

Finance/Accounting

Full-Time

On-Site

The Manager, Risk & Data Analytics supports risk‑based audits, data‑driven insights, investigations, analytics, risk assessments, and special projects across Paramount’s corporate, media, streaming, and production environments. The role focuses on evaluating processes, governance, and internal controls using data and judgment to identify risks, strengthen decision‑making, and deliver meaningful insights. The work includes operational reviews, T&E audits, production audits, and investigations. It also involves management‑requested reviews and advisory projects.

These tasks often require collaboration with SOX, Compliance, Legal, Finance, and other teams.

Responsibilities include, but are not limited to:

• Plan and lead risk‑based audits, advisory engagements, and special projects
• Develop audit objectives, scopes, and risk assessments focused on key business risks
• Design audit approaches for non‑routine or evolving activities
• Evaluate processes, controls, and governance; identify opportunities to reduce friction and improve accountability
• Perform end‑to‑end walkthroughs and root‑cause analysis
• Assess operational maturity and scalability in high‑growth initiatives
• Use advanced analytics for audit planning, testing, investigations, and risk monitoring
• Analyze large datasets (production costs, T&E, payroll, vendor payments, revenue) to identify trends and risks
• Translate risks into targeted analytics and communicate insights through visuals and dashboards
• Lead or support investigations and fraud risk assessments; partner with Legal, Compliance, and HR on confidential matters
• Build trusted relationships with business leaders and cross‑functional partners
• Communicate results clearly and develop functional, business‑aligned recommendations
• Manage, coach, and develop team members; review work for quality and consistency
• Contribute to the annual risk assessment and audit plan; support continuous improvement of methodologies and analytics
• Act as a thought partner on emerging risks and operational trends
• Assess audit and operational risk and determine focus areas
• Design audit and analytics procedures to test controls
• Identify control gaps and inefficiencies
• Apply professional skepticism while remaining impartial and solutions‑oriented
• Manage multiple engagements and deadlines in a fast‑paced environment
• Proficient comprehension of operational risk, internal controls, audit methodologies, and fraud risk
• Experience with operational audits (T&E, production, vendor payments, revenue)
• Extensive experience analyzing large, complex, or unstructured datasets
• Proficiency with analytics/visualization tools (SQL, Python, Power BI, Tableau, Alteryx, ACL)

• 7+ years in internal audit, external audit, risk management, forensic accounting, data analytics, or related fields
• Experience with operational audits (T&E, production, vendor payments, revenue)
• Bachelor’s degree in Accounting, Finance, Business, Data Analytics, Information Systems, or related field
• Professional certifications (CIA, CPA, CFE, CISA) preferred
• Strong project management, communication, analytical, and problem‑solving skills

• Navigate ambiguity and incomplete data to drive effective audit and analytics work
• Balance risk management requirements with business realities and operational needs
• Lead teams, engage stakeholders, and perform hands‑on analysis throughout engagements
• Manage multiple concurrent projects while maintaining quality, accuracy, and impact
• Big Four or consulting experience preferred
• Experience with Legal/Compliance on investigations is a plus
• Knowledge of ERM frameworks and regulatory considerations
• Ability to assess fraud risk and support investigations
• Collaborative mindset; ability to influence and work across teams
• Self‑starter with deep effort and ability to learn quickly
• Educated curiosity and robust interpersonal skills
• Experience leading and coaching team members
• Research and synthesis skills
• Comfort using AI‑enabled tools and advanced analytics