EY

• Drive the convergence of Cybersecurity, Vulnerability Management, and Artificial Intelligence • Design, implement, and enhance AI-enabled vulnerability management programs • Help shape EY’s AI-driven Cybersecurity capabilities • Contribute to thought leadership and mentor teams

• Define IAM-AI solution architecture across IGA, AM/SSO, PAM, directory services, NHI, and security operations use cases. • Translate client IAM challenges into scalable AI-enabled workflows, PoCs, MVPs, and implementation roadmaps. • Guide secure integration of identity data, AI models, automation scripts, APIs, analytics, and cloud services to improve IAM operations and risk visibility. • Provide hands-on direction using Python, PowerShell, APIs, and automation patterns to validate and accelerate solution delivery. • Design AI-led IAM use cases using LLMs, RAG, agents, copilots, orchestration frameworks, and responsible AI guardrails. • Apply AI/ML techniques to support access risk analysis, anomaly detection, role mining, certification insights, and privileged access intelligence. • Support secure NHI and agent identity governance covering discovery, inventory, authentication, authorization, and guardrails. • Lead client workshops, discovery, solution shaping, estimation, roadmap definition, and executive-level IAM-AI storytelling. • Shape PAM automation and analytics across CyberArk, privileged access patterns, session monitoring, password rotation, secrets, and risk-based remediation. • Develop client-ready insights and dashboards using identity data, analytics, automation, and visualization tools.

• Establishing and executing strategic and tactical plans for ITIL / ITSM implementation • Defining and costing complete Service Management solutions • Creating service model frameworks in accordance with RFP requirements • Demonstrating consultative solution skills during bidding phases • Building and managing Service Management Implementation Roadmaps • Delivering Service Management Implementation Projects as a lead or consultant • Preparing clear and concise communications for multiple audiences

• Deliver learning design and development projects on time, and to quality standards • Develop a detailed project plan for each project, based on a standard template, identifying deliverable due dates and review cycles • Manage ongoing status reporting, communicate projects risks, escalating as needed • Obtain guidance from appropriate sources before forming conclusions on how to manage a given issue or opportunity • Maintain relationships with a variety of stakeholders including subject matter resources, other learning stakeholders, and third-party learning vendors • Ensure adherence to operations and compliance processes • Coordinate and monitor the work of vendor project managers, designers, and developers where applicable • Facilitate regular project meetings • Create and maintain comprehensive project documentation • Leverage best practices of project management from other team members • Initiate and ensure the effective and timely publication of learning content by content administration

Role Description We are seeking a skilled Business Analyst with expertise in SAP SuccessFactors and Data Integration to drive Talent projects forward. The successful candidate will play a crucial role in gathering requirements, analyzing business processes, and ensuring the seamless integration of SAP SuccessFactors with other systems and data sources, contributing to the success of our Talent initiatives. Your key responsibilities - Requirement Gathering: Collaborate with business stakeholders to understand and document detailed requirements for Talent projects, including SAP SuccessFactors modules and data integration needs. - Process Analysis: Analyze existing Talent processes, identify areas for improvement, and recommend solutions that leverage SAP SuccessFactors and other technologies to enhance efficiency and effectiveness. - System Integration: Work closely with technical teams to design and implement data integration solutions, ensuring the accurate and secure flow of data between SAP SuccessFactors and other systems. - Documentation: Create comprehensive and clear business requirement documents, process maps, use cases, and other relevant documentation to guide project implementation. - Testing and Validation: Develop test plans, scenarios, and conduct testing to ensure the functionality and integration of SAP SuccessFactors meet business needs and quality standards. - Stakeholder Communication: Facilitate effective communication between business stakeholders, project teams, and technical experts to ensure a shared understanding of project objectives and progress. - Change Management: Collaborate with change management teams to support end-users in adapting to new systems and processes resulting from SAP SuccessFactors implementations. - Issue Resolution: Identify and address project issues and risks related to SAP SuccessFactors and data integration, escalating when necessary to ensure timely resolution. - Continuous Improvement: Participate in process improvement initiatives, suggesting enhancements to business processes and system functionality. Qualifications - Solid understanding of Talent processes and system functionalities, particularly within the context of SAP SuccessFactors. - Proficiency in data integration methodologies, including data mapping, ETL processes, and API integrations. - Excellent analytical skills, with the ability to translate business needs into actionable technical requirements. - Strong documentation skills, including the creation of requirement documents, process flows, and test plans. - Effective communication skills, both written and verbal, to facilitate collaboration among diverse project teams and stakeholders. - Proficiency in project management software tools and business analysis techniques. - Detail-oriented with a focus on delivering high-quality, accurate results. - Positive attitude, adaptability, and willingness to learn and grow within the role. - Ability to work virtually with global teams. Requirements - Bachelor's degree in a relevant field; additional certifications in business analysis or SAP SuccessFactors preferred. - Proven experience as a Business Analyst with a focus on Talent systems, SAP SuccessFactors, and data integration. - 5 to 8 years of industry experience preferably in Talent. Benefits - Dynamic teamwork: You’ll work with brilliant and innovative professionals who are devoted to building a better working world. - Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. - Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. - Transformative leadership: We’ll give the insights, coaching and confidence to be the leader the world needs. - Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

• Support the end-to-end aspects of services under their remit including but not limited to service engineering, L3 Conference room endpoint and infrastructure support, Escalation management, Vendor management and service roadmaps and standards. • Incident Resolution and Escalation Management • Communication and alignment with other teams internal and external to IT Services - VMS • Conflict resolution • Performance management – service / KPI • Knowledge transfer to the other team members • Knowledge of Telepresence

• Gathers specifications from the business and functional departments and deliver the solution that meets the needs presented • Interprets business and functional requirements and develops technical specifications documentation • Must be able to work on custom integration as well as standard integration packages • Must have knowledge of SAP Cloud Connector and CPI cockpit • Should have worked on Java and Groovy scripting • Must be aware of SAP CPI support activities • Must be able to perform root cause analysis of any re-occurring or critical issues and proposing solutions for them • Performs Unit, System and Integration testing at the various phases of the project lifecycle and document the results of the testing process

• Support the UKI across all Service Lines. • Provide financial and management information. • Develop new reports and analysis in collaboration with stakeholders. • Systematise existing assets. • Present information and analysis to the end user, highlighting variances and actions accordingly. • Build credibility and maintain relationships both within the team and the business. • Problem solve to overcome constraints. • Adapt to changes within the fast-changing evolving environment as the firm undertakes a Global Finance Transformation Programme.

• Managing and delivering one or more processes, solutions, and/or projects with a focus on quality and effective risk management. • Driving continuous process improvement and identifying innovative solutions. • Managing professional employees or supervising others to deliver complex technical initiatives. • Developing solutions to complex problems and recommending changes to policies. • Leading engagement economics and implementing resource plan and budget. • Collaborating with senior client stakeholders to assess marketing strategies and identify opportunities for improvement. • Advising clients on campaign optimization and leveraging data-driven insights. • Supporting the implementation of marketing technology platforms and tools. • Developing robust marketing data strategies and measurement frameworks. • Building and maintaining strong client relationships and leading cross-functional teams.

Role Description EY-Parthenon is looking for a motivated Senior Consultant to join its Analytics & AI practice, with a focus on Data Engineering. This role is ideal for someone with a strong commercial and technical foundation as well as a curious, problem-solving mindset, who is passionate about working with data to support pre-deal and post-deal engagements. You will play a key role in building, shaping, and managing data assets where data is often incomplete, complex, and fragmented. You will work closely with client teams to prepare, structure, and transform data, enabling better decision-making during transactions and helping clients unlock value. Key Responsibilities - Support the project team in day-to-day activities throughout the life-cycle of an assignment – requirements definition, specification, data collection, solution design, development, testing, documentation, implementation, and user training. - Design and build complex database models and insightful visualisation dashboards to perform analysis on large diverse datasets. - Work independently or with a team in designing analytical solutions (data pipelines, visualisations, machine learning models), undertaking proof-of-concepts, and implementing these solutions to help clients to compete effectively in this dynamic environment with the support of Directors and Partners. - Work directly with clients as well as other EY specialist teams to develop formal deliverables for clients including data dashboards (Excel or other data visualisation tools), web hosted solutions, Word reports, and PowerPoint presentations. - Explain complex technical concepts underpinning your analysis in simple terms to clients to help them understand how their business needs are being addressed. - Manage stakeholders’ expectations in relation to deliverables. - Identify risk on the assignment, involving Engagement Manager/ Director / Partner appropriately in its resolution. - Take ownership of your tasks and work collaboratively with members of different grades within and across teams. Qualifications - Degree in a relevant field (e.g. Computer Science, Economics, Mathematics, or similar) or equivalent experience. Requirements - Approximately 2–5 years’ experience in data engineering, data analytics, or related fields, ideally in a consulting or in-house strategy environment. - Experience working with large and complex datasets, ideally in structured databases and distributed systems like Databricks. - Exposure to transaction support or fast-paced delivery environments is beneficial. - Experience in building and managing data pipelines and data models. - Strong working knowledge of data processing and transformation tools and languages. - Experience working with structured and unstructured data sources. - Familiarity with modern data platforms and cloud environments is advantageous. - Strong problem-solving and analytical thinking skills. - Willingness to engage with stakeholders and understand business context. Benefits - Exposure to high-impact deal environments and strategic projects. - Opportunity to work with clients across industries. - Strong focus on learning and development in both technical and consulting skills. - A collaborative and fast-paced team environment.