Risk Consulting - Digital Risk - DevSecOps - Manager - Multiple Locations
Ernst and Young, San Jose, CA, United States
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. Join us and build an exceptional experience for yourself, and a better working world for all.
The opportunity
The objective of our Digital Risk Consulting service is to support clients with the development, implementation, improvement, and modernization of their technology risk and compliance programs to address the constantly changing risk and technology landscape.
Your key responsibilities
- Operate as a team leader for engagements to help our clients develop and strengthen their IT risk and compliance programs.
- Work directly with clients to review their IT processes and controls, remediate and implement controls, onboard new tools and services into risk and compliance frameworks, and assist with the readiness and adherence for new compliance regulations.
- Provide oversight and coaching of engagement team members, reporting to both senior engagement team members and client leadership.
- Design and implement solutions to various data-related technical/compliance challenges such as DevSecOps, data strategy, data governance, data risks & relevant controls, and data quality.
- Leverage data analytics tools/software to build robust and scalable solutions through data analysis and visualizations using SQL, Python, and visualization tools.
- Collect, clean, and interpret large datasets from multiple sources, ensuring completeness, accuracy, and integrity of data.
- Integrate and/or pilot next-generation technologies such as cloud platforms, machine learning, and Generative AI (GenAI).
- Develop custom scripts and algorithms to automate data processing and analysis.
- Analyze data to uncover trends and generate insights that can inform business decisions.
- Build and maintain relationships across Engineering, Product, Operations, Internal Audit, and external stakeholders.
What You'll Need
- Experience in data architecture, data management, data engineering, data science, or data analytics.
- Proficient in SQL and quantitative analysis.
- Knowledge of tools in scripting and programming (e.g., Python, SQL, R), big data tools, and data visualization.
- Ability to analyze complex processes to identify potential financial, operational, systems, and compliance risks.
- Experience with SOX readiness assessments and control implementation.
To qualify for the role, you must have:
- A bachelor's or master's degree.
- A minimum of 5 years of experience working as an IT risk consultant or data analytics experience.
- Experience in applying relevant technical knowledge in at least one of the following engagements: risk consulting, financial statement audits, internal or operational audits, IT compliance, and/or Service Organization Controls Reporting.
Ideally, you’ll also have:
- A bachelor's or master's degree in business, computer science, information systems, informatics, computer engineering, accounting, or a related discipline.
- CISA, CISSP, CISM, CPA, or CA certification is desired.
What we offer
We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business.
EY accepts applications for this position on an on-going basis. If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
EY exists to build a better working world, helping to create long-term value for clients, people, and society.
EY is an equal opportunity, affirmative action employer providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis.
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