Delivery Manager - Data & AI

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

• 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