Company Description The world of global advisory, audit and tax compliance services for large multi-nationals is rapidly changing and heavily dependent on technology. The KPMG Delivery Network (KDN) is a KPMG special purpose member firm offering a way for clients to leverage KPMG top talent and technology platforms through regional teams of specialists, enabling economies of scale and a new way of working that expands beyond local capability Together with KDN, KPMG member firms can drive the sales and delivery of global solutions at a competitive price and in a repeatable and consistent manner. As a member of KDN, you’ll be a part of the KPMG family working alongside some of our profession’s most skilled practitioners on rewarding programs and initiatives that are changing the way business operates, delivering value to our clients, and driving positive change in the communities we serve.

You’ll be enabling KDN accelerate new ways of working, using cutting-edge technology and working together with our member firms located in nearly 150 countries to help us achieve our ambition to be the most trusted and trustworthy professional services firm.

The KDN Digital Audit team is looking for an experienced audit professional to join as a supervising senior, support the implementation and scale-up of AI-enabled Data & Analytics routines that leverages innovative techniques to analyze volumes of transactional data and identify areas of audit risk.

In this role, you will collaborate with KPMG member firms and audit teams that have some experience with D&A; and are looking to strengthen their adoption. You will support them starting from planning and data discussions to reviewing AI-driven outputs and shaping the audit response. This role is ideal for professionals with an audit background who are passionate about enhancing audit quality and efficiency through innovative techniques using AI to analyze data.

Other Information

- Hybrid working: In-Office 3 days / Home Office 2 days

How you will make your mark

Your responsibilities will include

Collaborate with member firm’s D&A; champion to identify suitable audit engagements for AI-enabled Data & Analytical (D&A;)



procedures.

Support planning & kick-off meetings to align on scope, expectations, timelines, and roles.

Guide audit teams in defining data requirements and support client discussions to obtain accurate and complete data.

Assist in setting up key elements for AI-enabled D&A; procedures such as financial data structuring.

Liaison effectively with data professionals to support the data life cycle, ensuring alignment with audit objective.

Interpret results from AI-enabled D&A; procedures and support audit teams in identifying areas of risk or further testing.

Document and communicate insights derived from D&A; procedures to audit teams.

Undertake medium-sized assignments independently or assist in larger assignments reporting to a manager.

Identification of issues/missing information and managing & tracking the open issues until resolved.

Coordinate with engagement teams to obtain the required data to perform audit D&A; solutions.

Coach junior team members, including reviewing their work, tracking chargeability and supporting career development programs.

Maintain data confidentiality and adhere to the risk management policy.

This is the job for you if you have:

We are seeking team members who are able to manipulate data from ERP systems, hence the ideal technical skills are a combination of data analytics/IT and accounting/finance/audit, gained through education and/or experience.

Mandatory Skills

Bachelor's Degree in Public Accounting (Contaduría Pública) or Master's Degree in Accounting. Contador Público Certificado (CPC) would be considered an added advantage but is not mandatory.

4-6 years post qualified experience in a large or globally recognized audit firm and/or Delivery Center environment





Prior experience of working on D&A; procedures on audit engagements would be an added advantage

Previous Big 4 audit experience will be strongly preferred

Fluent in English and Spanish

Preferred Skills

Technical skills:

- Advanced knowledge of audit methodology related to risk assessment, controls testing, and substantive procedures.
- Experience of reviewing or applying risk of material misstatements in audits.
- Intermediate to Advanced level in MS Excel and MS Word.
- Knowledge of Power BI, SQL, Alteryx or any ETL tools would be an added advantage

Behavioral / team skills:

- Experience supervising work of others and willingness to lead a team
- Excellent written and verbal communication skills
- Experience in project management and balancing multiple deliverables simultaneously
- High-energy, independent decision maker with ability to manage priorities & conflicts
- Be passionate about delivering high quality work
- Ability to assimilate cultures and work in a general environment
- Critical thinker with strong analytical and problem-solving skills
- Personal drive and positive work ethic to deliver results within tight deadlines and in demanding situations
- Passionate about innovation and the use of D&A; in audits and ideally have used D&A; on audits.
- Open to learn new accounting system concepts
- Flexibility to adapt to a variety of engagement types, working hours and work environments
- Ability to work overtime when business needs require
- Ability to interpret findings and identify key insights to communicate to a non-technical audience
- Well-organized, experience with managing multiple projects at once

Additional Information KDN Digital Audit is a specialized team that supports member firms in implementing and scaling their local Data & Analytics (D&A;) capabilities within the audit function. We work closely with member firms across geographies to enable efficient use of analytical tools and processes, enhancing audit quality and insights. Our goal is to drive consistency, efficiency, and innovation in the digital audit space through centralized support and automation.

📌 Audit Senior Associate, Data & Analytics (Ciudad de México)
🏢 KPMG México
📍 Ciudad de México