Data and Gen AI Practice Lead

3 days ago

Pune, India dentsu Full time
Role summary
Merke is soliciting applications for the position of a leader for out Data & GenAI practice focused on front-end functions—sales, marketing, and growth. You will be the player-coach who defines the strategy, hires and leads a multi-disciplinary team, builds accelerators/IP, shapes solutions and POCs, drives GTM with partners, and ensures production-grade delivery for enterprise clients.
What you’ll do
Practice leadership & strategy
Define the practice vision, service catalog, and roadmap across: LLM apps/copilots/agents, RAG over marketing & sales knowledge, decisioning/propensity, recommendations, experimentation & uplift modeling, identity & consent-aware activation.
Publish reference architectures for front-office stacks (CDP/CRM ↔ GenAI services ↔ channels) and delivery playbooks (SOW templates, estimations, QA/eval harnesses, runbooks).
Solutioning & POCs (front-office)
Lead discovery and solution design with commercial guardrails (CAC/LTV, conversion, AOV, churn, media ROI etc).
Startup up a Solutions Lab for rapid POCs that graduate to production (clear success metrics, latency/SLOs, cost-per-request, safety/guardrails).
Own build vs. buy decisions across hyperscalers and ISVs
GTM, partnerships & revenue
Package offerings/accelerators, create demos and case studies; enable Sales with qualification guides and ROI calculators.
Co-sell with cloud/ISV partners; manage partner tiers/MDF; shape and lead proposals/RFPs with clear commercials (T&M/fixed/managed).
Delivery & governance
Oversee end-to-end delivery from discovery → design → build → deploy → operate; enforce SLAs/SLOs, change control, and cost governance.
Establish MLOps/LLMOps : CI/CD for data/models/prompts, vector index pipelines, eval harnesses (factuality, toxicity, bias), telemetry, rollback.
Implement privacy, security, and Responsible AI: consent handling, PII redaction, audit trails; align with GDPR/DPDP/PCI/RBI where applicable.
People leadership
Hire and mentor Solution Architects, GenAI/ML Engineers, Retrieval/Prompt/Eval Engineers, Data Engineers (activation-oriented), and Engagement Managers.
Build a hands-on, outcome-driven culture; review designs, unblock delivery, and raise the technical bar.
Minimum qualifications
12+ years in data/ML/AI with 5+ years leading delivery/consulting/tech teams; proven practice/P&L ownership.
Demonstrated wins delivering front-office AI (sales/marketing/growth) in BFSI, Auto, or Retail/E-com is a good to have
Architecture depth across:
GenAI/LLM apps: RAG, tool-use/agents, prompt/retrieval optimization, eval/guardrails; vector DBs (pgvector/FAISS/Pinecone, etc.); orchestration (LangChain/LlamaIndex or equivalent).
Activation stack: CDPs (Salesforce Data Cloud/Adobe RTCDP/Treasure Data), CRMs (Salesforce/MS Dynamics), MAPs (SFMC/Adobe/Braze), ad APIs (Google/Meta), MMPs.
Data/infra: Databricks/Spark, Snowflake/BigQuery, Kafka/Kinesis, dbt; microservices, K8s/containers, CI/CD, secrets/KMS.
Presales excellence: discovery, solution shaping, SOWs/pricing, stakeholder management, and C-suite communication.

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