Data Engineering Manager

Anblicks; Hyderabad; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Anblicks is seeking a Delivery Manager for Data & AI Managed Services to guide enterprise engagements in modern data platforms, AI enablement, and analytics transformation. You will lead global teams, drive data modernization, and partner with executives to realize business value.

The role emphasizes governance, innovation, and strategic consulting to deliver speed and quality across geographies. Strong Azure/DataLake expertise is preferred.

Qualifications

• 10+ years of enterprise data engineering, analytics, or data platform delivery.
• 5+ years leading large-scale managed services or consulting engagements.
• Proven experience managing global delivery teams across geographies.
• Strong consulting mindset engaging executive stakeholders.
• Deep expertise in Retail, Food & Beverage, or Entertainment domains.
• Experience building and operationalizing enterprise data products.

Responsibilities

• Lead end-to-end delivery and operational management of enterprise Data & AI managed services.
• Act as trusted advisor to client executives and technology leadership.
• Drive strategic roadmaps for data modernization and AI enablement.
• Build and scale global delivery teams across onsite, nearshore, offshore.
• Own delivery governance including KPIs, SLAs, and risk mitigation.
• Identify opportunities for account growth and value-added services.

Skills

Delivery leadership

Enterprise data delivery

Client relationship management

Strategic roadmaps

AI enablement

Cloud data platforms

Tools

Databricks

Azure ecosystem

ADF

Delta Lake

Data governance

Job description

Delivery Manager - Data & AI Managed Services

We are seeking a high-impact Delivery Manager - Data & AI Managed Services to lead strategic enterprise engagements focused on modern data platforms, AI enablement, analytics transformation, and business value realization. This role requires a unique blend of deep technical expertise, consulting leadership, operational excellence, innovation mindset, and customer relationship management.

Key Responsibilities

• Lead end-to-end delivery and operational management of enterprise Data & AI managed services engagements.
• Act as a trusted advisor to client executives, business stakeholders, and technology leadership teams.
• Drive strategic roadmaps for data modernization, AI enablement, analytics transformation, and operational optimization.
• Build and scale high-performing global delivery teams across onsite, nearshore, and offshore models.
• Own delivery governance including KPIs, SLAs, financial management, risk mitigation, escalations, staffing, and client satisfaction.
• Identify opportunities for account growth, expansion, innovation, and value-added services.
• Partner with client stakeholders to define and prioritize data products, business capabilities, and AI-driven use cases.
• Drive proactive consulting conversations around modernization, automation, data quality, governance, semantic models, and AI adoption.
• Lead architecture and solution discussions for modern cloud data platforms.
• Establish engineering best practices, reusable frameworks, accelerators, automation patterns, and operational excellence models.
• Mentor technical leads and other team members while fostering a culture of accountability, innovation, and continuous improvement.
• Collaborate closely with sales, pre-sales, architecture, and executive leadership teams on proposals, estimations, solutioning, and strategic pursuits.

Required Qualifications

• 10+ years of experience in enterprise data engineering, analytics, or data platform delivery.
• 5+ years leading large-scale managed services or consulting engagements.
• Proven experience managing complex global delivery teams across multiple geographies.
• Strong consulting mindset with the ability to engage executive stakeholders and drive business-focused outcomes.
• Deep expertise in Retail, Food & Beverage, and/or Entertainment industry domains.
• Strong experience building and operationalizing enterprise data products and analytics solutions.
• Demonstrated ability to drive account growth, innovation initiatives, and strategic transformation programs.

Technical Expertise

• Deep expertise in modern cloud data platforms and large-scale data ecosystems.
• Strong hands-on architecture and engineering knowledge in:
  • Databricks
  • Microsoft Azure ecosystem
  • Azure Data Factory (ADF)
  • Delta Lake & Medallion Architecture
  • Data Lakehouse architectures
  • PySpark / Spark optimization
  • SQL and advanced data modeling
  • Real-time and batch data processing
  • Data governance and data quality frameworks
  • CI/CD and DataOps practices
  • API and integration patterns
• Experience with AI/ML enablement, semantic models, conversational analytics, or Agentic AI ecosystems is highly preferred.
• Strong understanding of enterprise architecture, scalability, security, observability, and platform operations.

Leadership Expectations

• Operate as an owner and strategic leader, not just a project manager.
• Bring strong executive presence and communication skills.
• Drive innovation and challenge conventional approaches.
• Build trusted client relationships and become a strategic partner.
• Create a culture of engineering excellence, accountability, collaboration, and continuous learning.
• Inspire teams to deliver business outcomes with speed, quality, and operational rigor.

Preferred Background

Experience working with:

• Enterprise Retail organizations
• Restaurant / F&B brands
• Entertainment and hospitality companies
• Large-scale cloud modernization initiatives
• Data platform managed services environments
• Consulting or professional services organizations

This is an opportunity to lead transformative Data & AI initiatives for enterprise clients while helping shape next-generation data-driven organizations through modern engineering, consulting excellence, and innovation leadership.