Assistant Vice President, Internal Audit Data Analytics Manager

**Main Purpose and Accountability of the Role**

Data Analytics (DA) Audit Managers (AVP) play a key role in delivering data analytics testing on audit engagements, working with business and functional audit teams to devise effective and efficient strategies to test key controls, driving insights that support internal audit conclusions. DA Audit Managers lead the delivery of analytics across multiple audits, ensuring work is completed to a high standard, on time, and in line with audit methodology and quality assurance requirements. They bring strong analytical and project management skills, communicate findings clearly to stakeholders, and contribute to the adoption of analytics testing and innovation across the function.

**Be Part of a Global Analytics Centre of Excellence**

As a DA Manager, you will join MUFG’s APAC Centre of Excellence for Data Analytics, supporting the regional Asia Internal Audit Office. You will help to drive innovation in audit by embedding data analytics into core processes and by developing smarter, more efficient audit testing approaches. You will help train and upskill colleagues, enabling wider adoption of data tools and techniques across audits. You will contribute to transforming how audits are performed through technology and collaboration.

**KEY RESPONSIBILITIES**

**Audit Delivery and Planning**

The Data Analytics (DA) Audit Manager is **responsible**for the end-to-end delivery of data analytics engagements aligned with methodology and QA standards. Operating with a high degree of autonomy, the DA Audit Manager plays a critical role in shaping audit strategies through data-driven testing and effective stakeholder engagement. Key responsibilities include:

- Understand business processes, risks, and controls relevant to audits.
- Design, implement, or execute robust analytics strategies to assess key controls, validate issues, and support continuous monitoring with relative independence.
- Escalate risks or delivery challenges to DA VPs or the DA Director promptly to ensure resolution and minimize impact.
- Support DA Director in planning and executing analytics activities across assigned audits within the AIAO portfolio, ensuring delivery against KPIs and timelines.
- Manage the collection, transformation, and analysis of large datasets, ensuring data quality and integrity through strong governance.
- Ensure timely, accurate documentation of analytics work per QA standards, and help audit teams translate results into impactful insights for business audiences.
- Support audit teams in articulating methodologies and findings to ensure alignment and understanding.
- Monitor progress against milestones, manage competing priorities, and ensure high-quality outputs within deadlines.
- Contribute to continuous improvement of the DA function by mentoring junior team members and supporting broader IA initiatives that foster innovation, collaboration, and excellence.

**Technical Capability**

**Demonstrate**strong technical and analytical capabilities. This role combines strong execution skills, and technical oversight. Specifically:

- 5+ years of experience in data analytics, ideally within Financial Services, Internal Audit, or other Risk/Control functions.
- Proven ability to lead and deliver complex analytics projects across the audit lifecycle, including scoping, stakeholder engagement, execution, and results communication. Experience managing analysts or peers with full project ownership.
- Strong quantitative skills to interpret complex data, design test strategies, and draw observations that support audit conclusions.
- Solid understanding of risk and control environments to assess risks and execute effective control testing strategies.
- Proficient in Python or similar programming languages for data analytics.
- Demonstrated technical leadership through reviewing junior colleagues’ work and promoting advanced analytics techniques to enhance team capability.
- Extensive experience with data visualization tools (e.g., Tableau, Power BI) and querying languages like SQL.
- Experience building complex workflows in Alteryx is a plus.
- Familiarity with cloud platforms (e.g., AWS, GCP, Azure, Snowflake) and automation tools (e.g., Power Automate) is a plus.
- Contributions to developing analytics methodologies, or tools are a differentiator.
- Excellent communication skills to explain data concepts to non-technical audiences.
- Strong project management skills with the ability to manage multiple priorities in a matrixed environment.

**Stakeholder Relationships**

**Enable**internal audit teams by delivering solutions and identifying data needs. Specifically:

- Promote the use of data analytics to support the Audit plan.
- Design or deliver tailored analytics use cases and embed them in audit delivery, with support from experienced DA colleagues.
- Identify and create regular opportunities to engage with audit teams, fostering trust, collaboration, and alignment on objectiv