Delivery Manager - Data & AI Managed ServicesLocation: Dallas
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.
The ideal candidate has successfully led large-scale managed services and transformation programs across Retail, Food & Beverage, and Entertainment industries, while building high-performing global teams and driving measurable business outcomes through modern data and AI ecosystems.
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 BackgroundExperience 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.
Required Skills
Data Quality and Governance Data Analysis and Insights Data Reporting & GovernanceSkills databricks Data Pipelines and Workflow Management Data Governance and Security Data Management and Reporting Data Engineering Data Modeling and ETL
