Job Title:  Enabling Areas - Information Technology - Deputy Manager - AI Solutions

Your potential, unleashed. 

India’s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realize your potential amongst cutting edge leaders, and organizations shaping the future of the region, and indeed, the world beyond. 

At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters. 

The team 

You’ll partner with Enabling Area / AI Team to unlock value from data and AI through modern analytics and GenAI capabilities (e.g., RAG, LLM integrations) and strong delivery practices.

Key Responsibilities

• Lead stakeholder interviews, workshops, and process walkthroughs to elicit and document functional/non-functional requirements (BRDs, user stories, acceptance criteria).

• Perform gap analysis, feasibility assessments, and traceability from business goals to product features.

• Shape product vision and roadmap for AI features; prioritize backlogs based on value, feasibility, and risk.

• Run Agile ceremonies (refinement, sprint planning, reviews) and maintain clear release plans and OKRs.

• Translate use cases into LLM/GenAI solutions (e.g., retrieval-augmented generation, prompt engineering, evaluation criteria) with DS/ML engineers.

• Coordinate data availability, model monitoring, and governance (security, privacy, cost/performance) with platform teams.

• Demo increments, validate requirements, and manage UAT with business users; drive adoption and training assets (playbooks, guides).

• Communicate status, risks, and mitigation plans to leadership; support post-launch analysis and continuous improvement.

• Maintain clear artefacts (journey maps, process flows, personas, wireframes) and QA/test plans in partnership with QA leads.

Qualifications

• Education: Bachelor’s degree in Engineering, Technology, or Business; MBA is a plus.

• Experience: Typically, 3–5 years in Product/BA roles.

• Core: Proven requirements management, backlog ownership, and Agile delivery with enterprise stakeholders.

Skills (Must-have)

• Strong BA toolkit (elicitation, analysis, documentation, UAT).

• Product tools (Jira/ADO/Confluence), and proficiency in MS Office for analysis and communication.

• AI literacy: familiarity with LLMs/GenAI concepts, RAG patterns, evaluation/guardrails, and data governance.

• Collaboration across Data Science, Engineering, UX; excellent stakeholder communication.

Preferred Exposure

• Hands-on with prompt design, GenAI evaluation, vector databases, or model lifecycle (training, deployment, monitoring).

• Experience in cloud platforms (AWS/Azure/GCP) and modern data/ML tooling.

Success Metrics (KPIs)

• Requirement lead time (from intake to signed-off user stories), backlog health, and sprint goal attainment.

• Feature adoption (usage, satisfaction), model performance & cost (for AI features), and defect escape rate/UAT pass-rate.

Working Model

Hybrid, with flexibility for stakeholder workshops, demos, and UAT at office/client sites as needed.

Qualifications:

•Master's or Ph.D. degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.

•Minimum of 5+ years of proven experience as a Data Scientist with a focus on NLP and 2 years on Gen AI, preferably in industry or research settings.

•Strong knowledge of NLP techniques and algorithms, including text preprocessing, feature extraction, and supervised and unsupervised learning methods.

•Proficiency in programming languages such as Python or R, and libraries such as NLTK, spaCy, scikit-learn, and TensorFlow/PyTorch for NLP.

•Familiarity with data visualization tools such as Matplotlib, Seaborn, or Plotly.

•Experience with containerization and orchestration technologies such as Docker and Kubernetes.

•Basic understanding of system design and ML-Ops practices.

•Excellent problem-solving skills and analytical thinking.

•Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.

•Proven ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment. 

How you’ll grow 

Connect for impact 

Our exceptional team of professionals across the globe are solving some of the world’s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report. 

Empower to lead 

  
You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership. 

Inclusion for all 

At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters.  

Drive your career 

At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte. 

Everyone’s welcome… entrust your happiness to us   

Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here’s a glimpse of things that are in store for you.   

Interview tips 

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