Job Description

This role is for one of our clients
Industry: IT Services and IT Consulting
Seniority level: Mid-Senior level
Min Experience: 12+ years
Location: Bengaluru, Karnataka, India

Job Type: full-time

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information.

These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

We are looking for a Technical Project Manager who can drive end-to-end execution of complex Data Engineering, Analytics, and AI/ML projects. The role requires managing engineering execution, coordinating cross-functional teams, handling stakeholder communication, and ensuring timely delivery of scalable data and AI solutions.

The idea candidate should understand technical architecture well enough to work directly with engineers, architects, and data scientists while keeping delivery on track.

Requirements
Key Responsibilities
Project Delivery & Execution Management

- Own end-to-end delivery of complex technical projects from initiation to production deployment
- Define project scope, timelines, milestones, deliverables, and execution strategy
- Manage multiple concurrent technical projects with competing priorities
- Ensure predictable delivery with robust governance around scope, timelines, quality,



and execution
- Drive project planning, sprint execution, release planning, and production readiness
- Manage project risks, issue resolution, dependency tracking, and escalation management, financial metrics

Team Leadership, Mentoring & People Management

- Proven experience managing and growing engineering teams of 10+ people - including hiring, performance management, and career development
- Able to operate credibly in both technical design reviews and executive stakeholder meetings, switching registers fluently
- Strong written and verbal communication: clear architecture decision records, concise board-level status updates, and structured client presentations
- Conduct regular one-on-one discussions, coaching sessions, and career guidance
- Drive team capability building and technical skill development initiatives
- Foster accountability, ownership, collaboration, and engineering excellence culture
- Support hiring, onboarding, and team expansion initiatives

Technical: Data Engineering

- Deep, hands-on understanding of data engineering fundamentals: batch and streaming pipeline design, data modelling paradigms (dimensional, data vault, medallion architecture), and warehouse internals




- Hands-on experience with cloud data warehouses - Databricks, Snowflake, Big Query, AWS Redshift or Azure
- Experience with data quality frameworks, lineage tooling, and metadata cataloguing at an enterprise level

Technical: AI & GenAI

- Practical experience designing or overseeing production AI systems - RAG pipelines, LLM integrations, vector search, knowledge graphs, or agentic frameworks
- Sufficient depth in Lang Chain, Lang Graph, vector databases, and knowledge graph platforms (Neo4j) to lead architecture reviews, evaluate technical trade-offs, and guide engineering decisions
- Ability to assess AI system designs for production readiness: latency, cost, observability, reliability, and governance compliance

Nice to Have

- Experience contributing to pre-sales: RFP responses, solution architecture proposals, effort estimation, and POC delivery
- Published technical writing, conference talks, or documented program case studies

Qualifications

- 10-12 years of experience in data and/or AI engineering, with the latter years in technical lead or project management roles
- Demonstrated experience owning delivery of at least two large-scale, multi-workstream data or AI program from inception to production
- Experience managing cross-functional engineering teams in a client-facing or consulting environment
- Technical certifications in dbt, Snowflake, or a major cloud platform (Azure, AWS, GCP) are a strong plus

Must-have skills

technical project delivery, Data Engineering

Good-to-have skills

LLM, AWS

📌 Technical Project Manager- Data Engineering/ Data Science/ AI & Gen AI (Bengaluru)
🏢 Weekday (YC W21)
📍 Bengaluru