Forensics - Managed Services - Innovations - Senior

Ernst & Young Advisory Services Sdn Bhd; Charlotte (NC); Hybrid; USD 74,000 - 136,000; Full time

Job summary

EY is seeking a Senior to lead analytics and AI-enabled innovations in Forensics - Managed Services. You will translate business requirements into scalable data, AI, and automation solutions while upholding security and risk management standards.

You'll manage data prep, model development, testing, deployment, and ongoing support, collaborating with cross-functional teams and guiding junior colleagues to deliver measurable business value.

Qualifications

• Bachelor's or graduate degree in a related field (CS, software engineering, information systems).
• 2+ years of related experience in analytics, AI, and data-enabled solutions.
• Ability to translate technical concepts into clear business value.

Responsibilities

• Gathers, prepares, and enriches large data sets from diverse sources.
• Designs and builds predictive models and AI-enabled solutions.
• Collaborates with cross-functional teams to deploy and operationalize analytics.
• Mentors junior staff and manages project delivery with risk awareness.

Skills

Data analytics

AI/ML

Cloud technologies

Cross-functional leadership

Education

Bachelor’s degree in CS / related

Tools

Python

SQL

Azure

Microsoft Fabric/Data Agent

Job description

Forensics - Managed Services - Innovations - Senior

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

The opportunity

We are seeking an experienced Senior to support the delivery of analytics and AI‑enabled innovation initiatives that enhance Forensics offerings and drive measurable business value. The role translates business requirements into scalable, high‑quality data, analytics, AI, and automation solutions while maintaining strong quality, cybersecurity, privacy, Responsible AI, and risk management standards. The individual contributes to the full solution lifecycle, including data preparation, model development, testing, deployment, operationalization, and ongoing support, helping to build reliable, reusable, and cloud‑enabled solutions that can scale across engagements. The role also promotes modern engineering practices, including secure development, DevOps, and CI/CD approaches, while collaborating with cross‑functional teams to integrate data, AI, and software engineering capabilities into client and internal solutions. Additionally, the individual supports solution adoption, identifies opportunities to improve processes and efficiency, and helps deliver meaningful business outcomes through innovative, technology‑enabled solutions.

Your key responsibilities

• Gathers, stores, cleanses, and enriches large amounts of data from different structured and unstructured data sources
• Uses advanced analytical algorithms to mine and analyze large sets of structured and unstructured data to obtain insights
• Designs and constructs new processes for modeling data
• Develops predictive models and leverages big data technology to design solutions that deliver value to the business
• Monitors, evaluates, and optimizes learning processes to continuously improve high‑performance models
• Works with other data and analytics professionals and teams to optimize, refine and industrialize analysis into an analytics solution
• Supervise low level staff and provide directions and control regarding their activities
• Responsible for contributing to the delivery of one or more processes, solutions and/or projects by delivering agreed activities, applying judgement, and selecting appropriate methodologies to inform recommendations, considerate of success criteria, barriers, risks, and issues.
• Accountable for meeting own targets which impact the immediate team.
• Coordinate the work of junior colleagues or team members.
• Meets performance objectives and metrics set locally (client service, quality and risk management, solution development and teaming etc.)
• Supervise low level staff and provide directions and control regarding their activities
• Supervises Seniors and Staff supporting innovation initiatives and solution development efforts
• Responsible for assigning work, setting priorities, and ensuring timely progress on innovation projects
• Provides coaching and guidance focused on analytical thinking, technical development, and innovation best practices
• Reviews work to ensure quality, rigor, and alignment with innovation objectives and firm standards
• Coordinates with cross‑functional teams to align resources and expectations
• Serves as a primary escalation point for issues related to scope, feasibility, or execution of innovation initiatives
• Contributes to performance feedback and development planning for team members

Skills and attributes for success

• Exercise judgement and discretion in providing supervision to low rank staff members
• Strong knowledge of software engineering, solution architecture, cloud platform, data analytics, automation, artificial intelligence, and technology enabled service delivery relevant to firm services
• Experience applying AI and machine learning (e.g., natural language processing, pattern matching, anomaly detection, generative AI, agent‑based systems, and automation technologies) to solve practical business and operational problems
• Ability to design, prototype, implement, test and scale AI‑enabled solutions, applications, or workflows that improve efficiency, quality, and insight generation
• Strong understanding of data quality, model limitations, and risks associated with AI‑enabled solutions
• Experience collaborating with delivery, product owners, and sales teams to ensure AI solutions can be operationalized and adopted
• Strong analytical problem‑solving skills and ability to operate effectively in ambiguous, evolving environments
• Excellent project management skills and the ability to prioritize when working on multiple engagements
• Strong negotiation and influencing skills, and the confidence to communicate complex technical concepts to a wide range of audiences
• Experience in web development, platform architecture, data engineering and data‑model configuration, data ingestion and storage design, as well as RBAC and security.
• Ability to support AI agent development, including prompt engineering, RAG optimization, structured data retrieval (including the use of Microsoft Fabric Data Agent and semantic models), and identifying the optimal tools to use within Microsoft and Azure’s suite of applications, primarily Microsoft Foundry.

To qualify for the role, you must have

• A bachelor’s and/or graduate degree in computer science, software engineering, information systems, statistics or computational linguistics
• 2+ years of related experience.
• Ability to translate technical and AI concepts into clear, practical use cases for non‑technical stakeholders
• Experience evaluating emerging software development and AI technologies, tools, and vendors for feasibility, scalability, and alignment with firm strategy
• Possess at least one professional designation or actively working towards, such as Certified Analytics Professional (CAP), CFE, or CFCE
• The ability and willingness to travel and work additional hours when necessary to support client needs.
• Access to reliable transportation to/from the EY office and client sites. A driver's license is strongly recommended as ride share and public transportation options may not be available in all locations.

Ideally, you’ll also have

• Comfort operating in ambiguous environments where requirements and solutions may evolve
• Commitment to knowledge sharing and enablement across the firm
• Willingness to partner closely with delivery and sales teams to drive adoption of innovative solutions

What we offer you
At EY, we’ll develop you with future‑focused skills and equip you with world‑class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more .

• 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. The base salary range for this job in all geographic locations in the US is $74,300 to $136,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $89,200 to $154,800. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
• Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40‑60% of the time over the course of an engagement, project or year.
• Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.

For those living in California, please click here for additional information.

EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi‑disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

EY provides 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, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at [e-mail] .

Select how often (in days) to receive an alert:

EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.