Delivery Lead - Acquisition & Sustainment

Key Responsibilities

End-to-End Delivery & Execution

Take ownership of the team's delivery lifecycle, ensuring data products are delivered on time, within scope, and to quality standards.

Ensure the product backlog is prioritized, refined, and clearly understood by the cross-functional team.

Track and communicate team metrics (e.g., velocity, sprint burn-down, lead time) to forecast delivery and identify areas for process optimization.

Proactively identify, escalate, and resolve impediments and blockers that hinder the team’s progress.

Agile Facilitation & Team Leadership

Guide and coach the team in engineering best practices.

Foster a collaborative, high-performing team culture rooted in trust, transparency, and continuous learning.

Protect the team from external distractions and scope creep during active sprints.

Enterprise Stakeholder & Dependency Management

Act as the primary bridge between the execution team and wider enterprise stakeholders, ensuring clear communication of progress, risks, and release schedules.

Navigate a highly matrixed enterprise environment to manage complex dependencies with external teams.

Prepare and deliver executive-level status reports and delivery roadmaps.

Data Product Advocacy & Compliance

Ensure delivery aligns with enterprise data governance and security standards.

Possess a strong working understanding of the data product lifecycle (data ingestion, transformation, modeling, and visualization) to effectively communicate with technical team members and validate delivery estimates.

Facilitate discussions around data quality, testing protocols, and CI/CD pipelines specific to data environments.

Required Experience/Clearance

Experience: 6+ years in a Delivery Lead, Agile Delivery Manager, Scrum Master, or Technical Project Manager role.

Data Literacy: Proven experience delivering data-centric projects (e.g., Data Warehousing, Machine Learning models, BI/Analytics dashboards, ETL/ELT pipelines).

Agile Expertise: Deep understanding of Agile methodologies (Scrum, Kanban) and how to pragmatically apply them in an enterprise setting.

Enterprise Navigation: Demonstrated ability to manage dependencies, risks, and stakeholders in a complex, large-scale corporate environment.

Tools: High proficiency with Agile project management tools (e.g., Jira, Confluence, Azure DevOps) and collaboration software.

Preferred: Certifications such as Certified ScrumMaster (CSM), PMI-ACP, or SAFe Agilist.

Familiarity with modern enterprise data stacks (e.g., Snowflake, Databricks, AWS/Azure/GCP data services, dbt).

Secret level security clearance.