Delivery Manager

Anblicks; Dallas (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Anblicks is seeking an experienced Data Delivery Manager to lead large-scale data modernization and transformation programs using Snowflake, Databricks, and cloud data platforms. You'll drive end-to-end delivery, manage cross-functional teams, engage stakeholders, and ensure successful cloud-based data initiatives.

The role combines delivery leadership, program management, data architecture understanding, and people management to execute complex journeys.

Qualifications

• 12+ years of IT experience in data delivery leadership.
• 5+ years delivering Data Engineering, Data Warehousing, Analytics, or Cloud Data Platform projects.
• Proven track record of Data Modernization or Cloud Transformation programs.
• Experience leading global, distributed delivery teams.

Responsibilities

• Lead end-to-end delivery of data modernization and analytics transformation programs.
• Manage multiple projects with schedule, budget, quality, scope, and stakeholder expectations.
• Establish delivery governance, plans, risks, dependencies, and mitigations.
• Drive Agile/Scrum and on-time milestone delivery.
• Monitor health via KPIs, dashboards, and executive reporting.
• Architect enterprise migrations to Snowflake or Databricks.
• Partner with Enterprise/Data Architects to design scalable platforms.
• Drive Data Lakehouse, Data Mesh, and modern analytics adoption.
• Lead and mentor data engineers and analytics teams.
• Manage resources, budgets, and profitability.

Skills

Snowflake

Databricks

AWS Data Services

ETL/ELT

Data Warehousing

Data Lakes

Data Governance

Data Quality

Real-Time Data

SQL

Python

Spark

Job description

Job Title: Data Delivery Manager - Data Modernization & Transformation

Experience: 12+ Years

Job Summary

We are seeking an experienced Data Delivery Manager to lead large-scale Data Modernization and Data Transformation programs leveraging Snowflake, Databricks, Cloud Data Platforms, and Modern Data Architectures. The ideal candidate will be responsible for driving end-to-end delivery of enterprise data initiatives, managing cross-functional teams, engaging with stakeholders, and ensuring successful execution of cloud-based data transformation programs.

The role requires a blend of delivery leadership, program management, data architecture understanding, customer engagement, and people management to successfully execute complex data modernization journeys.

Key Responsibilities

Program & Delivery Management

• Lead end-to-end delivery of Data Modernization, Data Migration, Data Warehousing, Data Lakehouse, and Analytics Transformation programs.
• Manage multiple concurrent projects with responsibility for schedule, budget, quality, scope, and stakeholder expectations.
• Establish delivery governance, project plans, risks, dependencies, and mitigation strategies.
• Drive Agile/Scrum execution and ensure on-time delivery of project milestones.
• Monitor project health through KPIs, dashboards, and executive reporting.
• Lead enterprise migration initiatives from legacy platforms such as Teradata, Oracle, Netezza, SQL Server, Hadoop, or On-Prem DW to Snowflake or Databricks.
• Define and execute cloud data modernization roadmaps.
• Partner with Enterprise Architects and Data Architects to design scalable modern data platforms.
• Drive adoption of Data Lakehouse, Data Mesh, Data Fabric, and modern analytics architectures.
• Act as the primary liaison between client stakeholders, business teams, and delivery teams.
• Conduct executive steering committee meetings and delivery reviews.
• Manage customer expectations and communicate progress, risks, and resolutions effectively.
• Provide thought leadership on modern data strategies and transformation initiatives.
• Lead and mentor Data Engineers, Data Architects, Analytics Engineers, BI Developers, and Scrum Teams.
• Manage resource planning, workforce forecasting, utilization, and capacity management.
• Drive performance management and career development initiatives.
• Build high-performing data delivery teams.
• Manage project budgets, revenue forecasting, resource allocation, and profitability.
• Drive delivery excellence through operational metrics and continuous improvement initiatives.
• Ensure compliance with organizational delivery frameworks and quality standards.

Required Qualifications

Experience

• 12+ years of overall IT experience.
• 5+ years of experience managing Data Engineering, Data Warehousing, Analytics, or Cloud Data Platform projects.
• Proven experience delivering large-scale Data Modernization or Cloud Transformation programs.
• Experience managing global and distributed delivery teams.

Technical Expertise

Strong understanding of:

• Snowflake Data Cloud
• Databricks Lakehouse Platform
• AWS Data Services
• ETL/ELT Frameworks
• Data Warehousing Concepts
• Data Lakes & Lakehouse Architecture
• Data Governance & Data Quality
• Real-Time & Streaming Data Platforms
• SQL, Python, Spark

Preferred Qualifications

• Experience managing migration projects from legacy data warehouses to Snowflake or Databricks.
• Experience in AI/ML data platform implementations.
• Knowledge of Data Mesh, Data Fabric, and Modern Data Architecture patterns.
• Experience working with Fortune 500 customers.
• Exposure to GenAI-enabled analytics platforms.

Certifications (Preferred)

Snowflake

• SnowPro Advanced Architect

Databricks

• Databricks Certified Associate Developer for Apache Spark

Cloud

• Azure Solutions Architect Expert
• AWS Solutions Architect Associate/Professional
• Google Professional Cloud Architect

Agile

• PMI-ACP
• PMP Certification

Ideal Candidate Profile

A successful candidate will have led multiple Data Modernization, Cloud Migration, Snowflake, Databricks, and Enterprise Analytics Transformation programs, managed teams of 20-100+ resources, interacted with executive stakeholders, and delivered measurable business outcomes through modern data platform adoption and transformation initiatives.