AI Data Analytics Engineer - AM/DM

Hyderabad, Telangana, India

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Position Summary

AI Data Analytics Engineer

Your opportunity  

We are seeking a visionary and technically proficient AI Data & Analytics Engineering Manager to join our ITS AI Center of Excellence (CoE). The ideal candidate will be responsible for executing the firm’s data strategy that powers our next-generation AI systems. This role involves architecting scalable data platforms, transforming legacy data into AI-ready assets, and operationalizing advanced analytics to drive intelligent decision-making. You will be the bridge between modern data engineering and cutting-edge AI innovation and analytics, ensuring our data infrastructure is as futuristic as the models it supports. You will also have the opportunity to develop your career and learn new skills in a supportive and inclusive environment. The role will be reporting to the Head of AI-CoE.

Responsibilities

·       Develop specialized analytics dashboards to monitor model performance in business terms (e.g., ROI of an Agent, cost-per-query optimization), going beyond diverse technical metrics.

·       Design and manage scalable, multi-modal data-lake architectures using Snowflake, Databricks, or Microsoft Fabric.

·       Ensure seamless integration of unstructured data (text, video, audio) to support Generative AI workloads.

·       Transformation of existing data architectures and modelling into semantic layers suitable for LLMs.

·       Build analytics on top advanced AI data sources like Knowledge Graph, multi-modal Vector stores, etc.

·       Oversee the end-to-end lifecycle of our analytics platforms, selecting and integrating best-in-breed tools for data functioning, observability, and cataloging.

·       Proactively evaluate business processes to identify Data Gaps for AI adoption. Transform raw operational data into high-value features for predictive and generative models.

·       Leverage existing data streams to uncover hidden patterns and propose new AI-driven product features. Champion the move from descriptive analytics to prescriptive, AI-driven insights.

·       Establish rigorous data quality frameworks specifically for unstructured data. Implement automated pipelines to detect PII and ensure Data Freshness for real-time agents.

·       Implement data lineage tracking and audit trails for AI model training data to ensure regulatory compliance.

·       Enforce DataOps principles, integrating CI/CD for data pipelines, automated testing, and infrastructure-as-code (IaC).

·       Work closely with AI Engineers, Ethical AI Managers, and Product Owners to ensure data availability, compliance, and security are embedded in every AI solution from day one.

Required Qualifications

  • A bachelors degree or higher in Computer Science, Data Engineering, Information Systems, or a quantitative field.
  • Minimum of 8+ years of experience in Data Engineering or Analytics.
  • Migration and modernization of reporting dashboards in Tableau/Power BI, enabling democratized data access for non-technical teams. Added advantage having experience building real time analytics dashboards using AI.
  • Advanced experience with event-based tracking tools like Matomo/Posthog, Amplitude, Mixpanel, Google Analytics 4 (GA4), or others to analyze user journeys and retention.
  • Hands-on familiarity with monitoring and evaluating LLM performance using tools like LangSmith, Langfuse, Weights & Biases, or others.
  • Defining and tracking KPIs (Acquisition, Retention, others) using Matomo/Posthog/Amplitude/Mixpanel, identifying friction points in the user journey that improved conversion rates by X%.
  • Data Instrumentation & CDP, experience implementing data collection strategies using Segment, Snowplow, RudderStack or others to ensure clean, consistent data flow across platforms.
  • Expert SQL skills for ad-hoc analysis and experience designing metrics layers or using semantic layers.
  • Established evaluation frameworks for GenAI features, utilizing LangSmith to track token usage, latency, hallucination rates, and response quality.
  • Partner with Product Managers and Engineering leads to define "North Star" metrics and success criteria for both traditional software releases and new AI-driven features.

Location: Hyderabad

Work hours: 11AM to 8PM IST
Our purpose

Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. 
Our people and culture

Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas and perspectives, and bring more creativity and innovation to help solve our clients’ most complex challenges. This makes Deloitte one of the most rewarding places to work.
Professional development

At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India.
Benefits to help you thrive

At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.
Recruiting tips

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Requisition code: 323866