About the role

Job Description: Data Delivery Lead

Role Overview

We are looking for a seasoned Data Delivery Lead to drive the execution of complex data programs within our modern cloud ecosystem. In this role, you will orchestrate multiple cross-functional squads building high-value Data Products on the Microsoft Azure and Databricks platform.

You will act as the bridge between technical engineering teams, product owners, and business stakeholders. Your primary mission is to ensure the predictable, high-quality delivery of data solutions while managing a critical, large-scale migration initiative from legacy systems to our Lakehouse architecture.

Key Responsibilities

1. Data Program Leadership

Orchestrate Delivery: Lead delivery across multiple agile squads to build and maintain data products. Ensure dependencies between squads are managed and blockers are removed swiftly.
Agile Governance: Facilitate Scrum of Scrums, sprint planning, and retrospectives. Standardize delivery metrics (Velocity, Cycle Time) across squads to predict throughput accurately.
Stakeholder Management: Translate complex technical progress into clear business value updates for executive leadership. Manage expectations regarding scope, timeline, and budget.

2. The Migration Mandate (Crucial)

Migration Strategy: Lead the end-to-end migration of data assets from legacy on-premise to cloud systems.
Cutover Management: Detailed planning of parallel runs, data parity testing, and "go-live" cutover strategies to minimize business disruption.

3. Technical Delivery Management (The Stack)

Data Quality & Governance: Enforce policies to ensure all Data Products meet the "Gold" standard of quality before being served to the business.
DevOps Culture: Champion CI/CD best practices for data pipelines, ensuring automated testing and deployment using Azure DevOps.

Qualifications & Experience

Must-Have Experience

Experience: 8+ years in Project/Program Management, with at least 4 years dedicated to Data Engineering or Analytics projects.
The "Crucial" Skill: Proven track record leading large-scale Data Migrations. You must be able to articulate how you handled data reconciliation and cutovers.
Tech Stack Fluency: Deep familiarity with the Azure Data Stack and Databricks (PySpark, Delta Lake, Notebooks). You do not need to code, but you must understand the architecture well enough to challenge estimates.
Squad Management: Experience working in a matrixed environment managing delivery across multiple autonomous teams.

Core Competencies

Strong understanding of Data Lifecycle Management (Ingestion -> Transformation -> Serving).
Mastery of Agile tools (Jira, Azure DevOps).

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