Manager - Tech Consulting - FS - CNS - TC - Technology Strategy & Transformation - Hyderabad

EY is a global leader in assurance, tax, transaction and advisory services. Technology is at the heart of what we do and deliver at EY. Technology solutions are integrated in the client services we deliver and are key to our innovation as an organization. 

Fueled by strategic investment in technology and innovation, Client Technology seeks to drive growth opportunities and solve complex business problems for our clients through building a robust platform for business and powerful product engine that are vital to innovation at scale. As part of Client Technology, you’ll work with technologists and business experts, blending EY’s deep industry knowledge and innovative ideas with our platforms, capabilities, and technical expertise. As a catalyst for change and growth, you’ll be at the forefront of integrating emerging technologies from AI to Data Analytics into every corner of what we do at EY. That means more growth for you, exciting learning opportunities, career choices, and the chance to make a real impact.

EY Technology:

Technology has always been at the heart of what we do and deliver at EY. We need technology to keep an organization the size of ours working efficiently. We have 250,000 people in more than 140 countries, all of whom rely on secure technology to be able to do their job every single day.  Everything from the laptops we use, to the ability to work remotely on our mobile devices and connecting our people and our clients, to enabling hundreds of internal tools and external solutions delivered to our clients.  Technology solutions are integrated in the client services we deliver and is key to us being more innovative as an organization.

EY Technology supports our technology needs through three business units:

Client Technology (CT) - focuses on developing new technology services for our clients. It enables EY to identify new technology-based opportunities faster and pursue those opportunities more rapidly.

Enterprise Workplace Technology (EWT) – EWT supports our Core Business Services functions and will deliver fit-for-purpose technology infrastructure at the cheapest possible cost for quality services. EWT will also support our internal technology needs by focusing on a better user experience.

Information Security (Info Sec) - Info Sec prevents, detects, responds and mitigates cyber-risk, protecting EY and client data, and our information management systems.  

The opportunity

This role supports and performs the development and programming of machine learning integrated software algorithms to structure, analyze, and leverage data in a production environment. This role also includes creating data mining architectures, applying data science principles, and conducting research to identify trends and inform business decisions.

Your key responsibilities

• Leverages data pipeline designs and supports the development of data pipelines to support model development. Proficient with software tools that develop data pipelines in a distributed computing environment (PySpark, GlueETL).
• Supports integration of model pipelines in a production environment. Develops understanding of SDLC for model production.
• Reviews pipeline designs, makes data model design changes as needed. Documents and reviews design changes with data science teams.
• Supports data discovery & automated ingestion for model development. Performs detailed analysis of raw data sources for data quality, applies business context, and model development needs.
• Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach. Participates in and influences ongoing business planning and departmental prioritization activities.
• Runs model monitoring scripts, follows process for alerts to management as needed. Addresses issues found in data pipelines from model monitoring alerts.
• Participates in special projects and performs other duties as assigned.
• Designs and maintains scalable data models and analytic frameworks to mine and interpret large datasets across varied business areas such as marketing, supply chain, or economics.
• Applies advanced statistical and data mining techniques to uncover trends and generate actionable business insights from complex datasets.
• Explores and incorporates emerging techniques in big data analytics and machine learning to enhance predictive modeling and support strategic business initiatives.

Skills and attributes for success

• A team player with strong analytical, communication and interpersonal skills
• Constantly updating yourself about new technologies in the market
• A winning personality and the ability to become a trusted advisor to the stakeholders

To qualify for the role, you must have

• Minimum 5 years of experience in data engineering or applied data science roles 4+ years of experience in machine learning engineering or similar role.
• Bachelor’s degree (B.E./B.Tech) in relevant fields such as Computer Science, Data Engineering, or Information Technology, or a Master’s degree/Diploma in Computer Science
• Proficiency in developing distributed data pipelines (e.g., PySpark, GlueETL), strong understanding of data ingestion, quality analysis, and model lifecycle. Familiarity with big data platforms, statistical modeling, and real-time monitoring systems.
• Strong proficiency in Python and ML frameworks.
• Knowledge of MLOps tools and CI/CD workflows.
• Understanding of APIs and microservices for model deployment.

Ideally, you’ll also have

• Strong verbal and written communication, facilitation, relationship-building, presentation and negotiation skills.
• Be highly flexible, adaptable, and creative.
• Comfortable interacting with senior executives (within the firm and at the client)

What we look for

• Strong teamwork, work ethic, product mindset, client centricity and a relentless commitment to EY values.

What working at EY offers

We offer a competitive remuneration package where you’ll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you

EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance.

About EY

As a global leader in assurance, tax, transaction and advisory services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.

If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.

Make your mark.

Apply now.