About the Role

We are looking for an experienced Delivery Manager to lead our Data Engineering delivery portfolio. You will own end-to-end delivery of large-scale data programs for global clients, covering data platform modernization, cloud migration, pipelines, and analytics enablement. Overall 15+ yrs of experience -You will manage client relationships, delivery teams, financial performance, and quality outcomes. You will also help us grow the practice by bringing AI/ML and GenAI capabilities into engagements.

Key Responsibilities

Delivery Management

- Own delivery of multiple data engineering projects and programs across onshore/offshore models, ensuring on-time, on-budget, high-quality outcomes.
- Drive project governance: planning, risk and issue management, dependency tracking, change control, and escalation handling.
- Ensure adherence to SLAs, KPIs, and delivery best practices (Agile, DevOps, DataOps).
- Conduct regular delivery reviews, steering committee meetings, and status reporting with clients and internal leadership.

Client & Stakeholder Management

- Act as the primary delivery point of contact for senior client stakeholders (CIO, CDO, Heads of Data/Engineering).
- Build long-term client relationships, drive satisfaction (CSAT/NPS), and identify opportunities for account growth.
- Support pre-sales activities: solutioning, effort estimation, proposals, SOWs, and client presentations.

Technical Leadership & Solution Oversight

- Provide technical direction on data architecture, ETL/ELT pipelines, data lakes/lakehouses, data warehousing, and real-time streaming solutions.
- Guide teams on cloud data platform adoption (Azure, AWS, GCP) and modern data stack tools.
- Champion data quality, governance, security, and compliance standards.




- Identify opportunities to embed AI/ML, GenAI, and intelligent automation into data solutions.

People & Practice Management

- Lead, mentor, and grow a team of architects, leads, and data engineers (typically 40-100+ members).
- Manage resource planning, utilization, hiring, onboarding, and attrition.
- Build a culture of upskilling and certification in cloud, data, and AI technologies.
- Contribute to practice growth through accelerators, reusable frameworks, and thought leadership.

Financial & Operational Management

- Own project P&L;, including revenue, margins, forecasting, billing, and cost optimization.
- Improve delivery efficiency using automation, productivity levers, and pyramid management.
- Ensure compliance with company processes, contractual obligations, and audit requirements.

Required Skills & Qualifications

- Bachelors or Master’s degree in Engineering, Computer Science, or a related field.
- 12-16 years of IT experience, with a strong background in data engineering/data warehousing and proven delivery management experience in an IT services or consulting environment.
- Track record of managing large, multi-million-dollar data programs with distributed teams.
- Hands-on understanding of:
- Cloud data platforms: Azure (Synapse, ADF, Databricks, Fabric), AWS (Redshift, Glue, EMR, S3), or GCP (BigQuery, Dataflow)
- Big data & processing: Spark, Kafka, Hadoop ecosystem, Snowflake,



Databricks
- ETL/ELT & orchestration: Informatica, Talend, dbt, Airflow, or similar
- Data modeling, warehousing, lakehouse architecture, and data migration
- SQL, Python/Scala (for technical guidance and review)

- Strong experience with Agile/Scrum, SAFe, and DevOps/DataOps practices.
- Excellent command of project financials: estimation, budgeting, forecasting, and margin management.
- Strong communication, negotiation, and stakeholder management skills, with experience handling US/EU clients.
- PMP, PRINCE2, SAFe, or equivalent certification is preferred.

Good to Have (AI/ML Exposure)

- Experience delivering or overseeing AI/ML or GenAI projects (e.g., ML pipelines, MLOps, feature stores, RAG-based solutions, LLM integrations).
- Familiarity with tools such as Azure ML, SageMaker, Vertex AI, MLflow, or Databricks ML.
- Understanding of responsible AI, data privacy, and AI governance.
- Ability to position and sell AI-enabled data solutions to clients.
- Cloud or data certifications (Azure Data Engineer, AWS Data Analytics, Databricks, Snowflake, etc.).

Key Competencies

- Strategic and outcome-driven delivery mindset
- Solid leadership and people management
- Client-centric approach with an ownership attitude
- Problem-solving and crisis management
- Business acumen and commercial awareness
- Ability to balance technical depth with program-level oversight

What We Offer

- Opportunity to lead high-impact data and AI programs for global clients
- Competitive compensation and performance-linked incentives
- Continuous learning, certifications, and career growth into Practice Head / Delivery Head roles
- Collaborative, innovation-driven work culture

📌 Delivery Manager (Pune)
🏢 Accion Labs
📍 Pune