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.
-
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.
-
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.
-
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.
-
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.
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.
