Manager, AI Governance (Risk Consulting)

EY

EY

Software Engineering, Data Science
Kochi, Kerala, India · Kochi, Kerala, India · Reykjavík, Iceland
Posted on Sunday, June 9, 2024

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Risk Consulting – AI Governance - Manager
The opportunity: your next adventure awaits.

Are you a tech-savvy professional with a risk mindset who is passionate about building a better working world through the power of people, technology, and innovation? We have an incredible opportunity for you to join our dynamic Enterprise Risk team and make a real impact in the rapidly evolving world we live in. Within Risk Consulting, you will focus in the areas of Artificial Intelligence (AI) Risk Management and Governance which would cover AI Auditing techniques, AI Risk and Controls, Pre-Implementation reviews, Data Privacy reviews, AI application security and BCP review of AI Applications.

This is client-facing role in a rapidly growing practice, where you’ll build client relationships with key stakeholders, including management executives for some of the most globally recognized brands. It makes this the perfect place to gain a deeper understanding of complex businesses transactions, all the while recommending solutions to some of the most pressing business challenges and process inefficiencies. You will also team up with our global professionals in multidisciplinary engagements, helping major global clients transform and sustain business performance. By plugging into our market-leading global network, you'll gain the experience you need to become an exceptional AI Risk Advisor

Key responsibilities

The purpose of this role will be to supervise delivery, provide technical and project leadership to your team members, as well as build relationships with clients. While delivering quality client services and enabling high-performing teams, you will drive high-value work products within expected timeframes and budget. You will monitor progress, manage risks and ensure key stakeholders are kept informed about progress and expected outcomes. Additionally, you will:

  • Understand client’s challenges and industry related issues and offer solutions in the areas of Technology induced Risk – Risk from Data models, AI/ML applications
  • Participate in go to market, create proposals and respond to RFPs, client orals etc. Identify opportunities for cross-selling to current clients/introduce colleagues from other service lines.
  • Travel to client locations (India and abroad) for meetings, conduct workshops, walkthrough sessions, trainings etc. for existing and new clients.
  • Jointly lead global account relationships along with onshore, manage engagement deliveries, quality and drive the growth agenda on accounts.
  • Consistently deliver quality client services. Drive high-quality work products within expected timeframes and on budget. Monitor progress manage risk and ensure key stakeholders are kept informed about progress and expected outcomes.
  • Manage a team of Seniors and Staffs (across geographies) for delivery of engagements across clients. Foster an innovative and inclusive team-oriented work environment. Play an active role in counselling and mentoring junior consultants within the firm.
  • Use knowledge of the current tech environment and industry trends to identify engagement and client service issues and communicate this information to the engagement team and client management through written correspondence and verbal presentations. Stay abreast of current business and industry trends relevant to the client's business.
  • Foster relationships with client personnel to analyse, evaluate, and enhance information systems to develop and improve security at procedural and technology levels.
  • Assist with cultivating and managing business development opportunities. Understand EY and its service lines and actively assess/present ways to serve clients.
  • Skills and attributes for success
  • You will leverage your proven track record of technology plus business process internal audit experience and strong personal skills, to effectively deliver quality results in the assessment, design, and support implementation of AI Risk solutions

To qualify for the role, you must have

  • A bachelor’s or master’s degree and approximately 7-8 years of internal audit related work experience
  • At least 2-4 years of experience in Internal Audit, Risk and Compliance in the following areas -
    • IT Pre-implementation and Post implementation reviews.
    • Model Risk Management
    • AI Compliance and regulatory assessments – Risk and Controls assessment of AI/ML applications in line with AI related regulations and frameworks
    • Risk Assessment – Assessment of internal processes to identify security findings, vulnerabilities, and control gaps/deviations identified on applications and infrastructure. Develop risk control matrix in line with COBIT, ISO, NIST and ITIL Best Practice and recommendations.
    • Control Monitoring / Testing - Understanding of Cyber and compliance standards like PCI, ISO27001, perform test the design and operational effectiveness of the cyber controls.
    • Defect / Gap Identification: Identify the confidentiality, integrity and the availability related deficiencies in the client environment and evaluate against industry standards.
    • IT Infrastructure and Architecture risk assessments including data quality and data migration reviews, data privacy reviews, OS DB reviews etc.
  • Functional understanding of foundation models (LLMs) and associated risks. Awareness of the AI deployment lifecycle
  • Knowledge of Responsible AI principles, AI Ethics and AI Assurance
  • Ability to identify process level risk arising from the use of AI and develop mitigation strategies.
  • Knowledge of cyber security frameworks such as COSO, COBIT, ISO, NIST etc.
  • Knowledge of Data Governance frameworks – data quality reviews
  • Knowledge of Privacy frameworks and Privacy Threat Modeling
  • Knowledge of best-in-class tools / techniques / frameworks / assessments available for AI Risk Management
  • Strong exposure working in client facing roles, collaborate with cross functional teams including internal audits, IT security and business stakeholders to assess control effectiveness and facilitate remediation activities.
  • Excellent communication, documentation and report writing skills.
  • Good to have relevant industry certifications such as CIA, CISA, CISM, CISSP

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