Delivery Manager

Accion Labs; Pune District; On-site; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Global client exposure

Performance incentives

Career growth into leadership roles

Collaborative culture

Job summary

Accion Labs is seeking an experienced Delivery Manager to lead the Data Engineering delivery portfolio, owning end-to-end programs for global clients. You will oversee data platform modernization, cloud migrations, pipelines, and analytics enablement, and drive AI/GenAI opportunities within engagements.

You will manage client relationships, delivery teams, and financial performance, while growing the practice and mentoring a large team of architects and engineers across onshore/offshore models.

Qualifications

• 12-16 years IT experience with data engineering and delivery management.
• Experience managing large, multi-million-dollar data programs with distributed teams.
• Strong experience with Agile/Scrum, SAFe, and DevOps/DataOps.
• PMP/PRINCE2/SAFe certifications preferred.
• Excellent client and stakeholder management across US/EU.

Responsibilities

• Own delivery of multiple data engineering projects and programs across onshore/offshore models.
• Drive governance: planning, risk/issue management, dependencies, change control.
• Ensure SLAs, KPIs, and delivery best practices (Agile, DevOps, DataOps).
• Lead regular delivery reviews and status reporting with clients and leadership.
• Mentor a team of architects, leads, and data engineers (40–100+).
• Own project P&L, revenue, margins, forecasting and cost optimization.

Skills

Delivery management

Client management

Technical leadership

Cloud data platforms

Big data

ETL/ELT tooling

Data modeling

SQL/Python

Agile/Scrum

SAFe

DevOps/DataOps

PMP/PRINCE2

Communication

Education

Bachelor's or Master's in Engineering/CS

Tools

Azure Synapse

Azure Data Factory

Databricks

BigQuery

Snowflake

Kafka

Spark

Airflow

Informatica

dbt

Job description

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
• Strong 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