The Role
Leads enterprise Data and AI managed services engagements, overseeing delivery governance, global teams, client relationships, strategic roadmaps, account growth, architecture, and operational excellence. The role advises executives on data modernization, analytics transformation, AI enablement, governance, automation, and data products. It also drives solutioning, proposals, engineering standards, innovation initiatives, staffing, financial management, risk mitigation, and customer satisfaction across complex consulting engagements.
Summary Generated by Built In
Delivery Manager - Data & AI Managed Services
Key Responsibilities
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.
Skills Required
- 10+ years of experience in enterprise data engineering, analytics, or data platform delivery
- 5+ years leading large-scale managed services or consulting engagements
- Experience managing complex global delivery teams across multiple geographies
- Strong consulting mindset and ability to engage executive stakeholders and drive business-focused outcomes
- Deep expertise in Retail, Food and Beverage, and/or Entertainment industry domains
- Experience building and operationalizing enterprise data products and analytics solutions
- Ability to drive account growth, innovation initiatives, and strategic transformation programs
- Deep expertise in modern cloud data platforms and large-scale data ecosystems
- Architecture and engineering experience with Databricks, Microsoft Azure, Azure Data Factory, Delta Lake, Medallion Architecture, and Data Lakehouse architectures
- Strong knowledge of PySpark, Spark optimization, SQL, advanced data modeling, real-time and batch data processing, data governance, data quality, CI/CD, DataOps, and API integration patterns
- Experience with AI/ML enablement, semantic models, conversational analytics, or Agentic AI ecosystems
- Understanding of enterprise architecture, scalability, security, observability, and platform operations
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Anblicks is a Cloud Data Analytics Company based out of Dallas, TX, with offices in USA, India, and Australia. Since 2004, Anblicks has been helping customers by bringing value to their data and implementing modern data architecture and advanced analytics solutions in the cloud.
