National Lead - Data Intelligence - Financial Services

Notice Period - 60 Days

Location - Pune

Job Title: National Lead Data Intelligence [Data Representation and Knowledge Engineering]

Reports to: Senior Vice President - Artificial Intelligence

Location: Pune

Position Summary:

- We are looking for a leader who can build scale the Data Representation Layer (DRL) as a horizontal capability across the enterprise-covering ontology/taxonomy & canonical objects, knowledge graph, graph embeddings & retrieval platform, and data/ML/LLM platform reliability (SRE & observability).

- This role will define the semantic foundations that power Search, RAG, recommendations, personalization, service intelligence, and risk/compliance use-cases. The candidate must be able to go from strategy

- This is a lead role requiring strong architecture and delivery capability, cross-functional stakeholder management, and experience running production-grade platform at scale.

Duties and Responsibilities:

- Establish platform reliability: Service level Indicators (SLIs)/service level Objectives (SLOs), monitoring, incident response, cost telemetry, security controls.

- Hire and develop a high-performing org, drive engineering best practices and delivery excellence.

- Design and operate a production Knowledge Graph (ingestion via batch/CDC/streaming, entity resolution, query performance, auditability).

- Create enterprise ontology/taxonomies (intent, objection, interaction, psychographic, journey) with versioning and stewardship.

- Execute DRL strategy, establish operating model, OKRs, governance, and adoption plan.

- Deliver canonical objects with data contracts, schema evolution, lineage, and quality SLAs; publish consumption APIs/semantic views.

- Build embeddings + retrieval platform: embedding pipelines, indexing, vector search at scale, hybrid retrieval and reranking, evaluation harness.

Basic Qualifications:

- Bachelors/Masters in CS/Math/Engineering (PhD preferred in advanced IR/Knowledge Graph)

- 10+ years in one or more: Knowledge Graphs, Search/IR, Data Platforms, ML systems at scale.

- Proven track record delivering enterprise platforms in production (availability, latency, governance)

Required Skills & Competencies:

Core (must-have):

- Platform leadership: roadmaps, operating model, budget ownership, vendor evaluation, cost optimization

- Knowledge Representation: ontology/taxonomy modeling, semantic schemas, entity resolution, data contracts.

- Knowledge Graph systems: graph modeling, ingestion, query optimization, indexing and scaling.

- Retrieval systems: vector search, hybrid search, ranking, retrieval evaluation and relevance metrics

- Distributed system: performance engineering, scaling patterns, caching, consistency, reliability

Governance, Security, and Compliance

- Experience designing systems with PII handling, access control, audit trails, and policy enforcement.

- Ability to align with BFSI risk require

Leadership Behaviors:

- High ownership, structured thinking, and ability to drive clarity in ambiguous environments.

- Strong program management: execution across parallel tracks, dependency management, and delivery predictability.

- Excellent communication- can represent complex technical trade-offs to senior leadership. Engineering & Tooling

- Strong ability in Python/Java/Scala; ability to prototype rapidly and productize.

- Experience with data and compute stacks: Spark, Kafka/streaming, Lakehouse/warehouse, APIs/microservices.

- Familiarity with one or more: graph DBs, vector DBs, feature stores, observability stacks, CI/CD, Kubernetes.

Preferred Qualifications:

- Hands-on experience building DRL-like semantic layers: canonical models + semantic tagging + consumption APIs.

- Experience with RAG production: grounding evaluation, safety controls, and feedback loops.

- Publications/patents in IR, KG, NLP, graph ML or large scale data systems.