Data Delivery Lead - Banking & Analytics

Cognizant; Sydney; On-site; AUD 100,000 - 210,000; Full time

Job summary

Cognizant is seeking a Data Delivery Lead to drive end-to-end data and analytics initiatives within a regulated banking/financial services context. You’ll govern budgets, risks, and quality while coordinating cross-functional teams across data engineering, architecture, testing, and operations.

The role emphasizes stakeholder engagement, vendor governance, and executive reporting with hybrid delivery approaches.

Qualifications

• Experience leading enterprise data delivery programs in banking/financial services.
• Strong project management across scope, schedule, budget, resources, risks, issues, and quality.
• Solid understanding of data engineering, data warehousing, ETL/ELT, data governance, lineage, metadata, and reporting platforms.
• Hands-on with SQL, Python, PySpark, Azure Synapse Analytics, and CI/CD pipelines for automated build, tests, deployment.
• Awareness of AI/ML delivery lifecycle and model integration.

Responsibilities

• Own delivery from initiation through planning, design, build, testing, implementation, transition, and closure.
• Define delivery roadmaps, milestones, estimates, budgets, governance forums, and success measures.
• Lead data engineers, analysts, architects, testers, business teams, and partners; clarify accountability and remove impediments.
• Manage scope, schedule, cost, quality, risks, issues, dependencies, and change requests; escalate when needed.
• Coordinate testing, release, cutover, handover, post-implementation review, and benefits realization.
• Drive continuous improvement, delivery predictability, and strong stakeholder relationships.

Skills

Data delivery management

Project management

Data engineering

Data warehousing

SQL

Python

PySpark

Azure Synapse Analytics

CI/CD

AI/ML delivery lifecycle

Tools

Jira

Confluence

Azure Synapse Analytics

Job description

Cognizant is seeking a Data Delivery Lead to drive end-to-end data and analytics initiatives within a regulated banking/financial services context. You’ll govern budgets, risks, and quality while coordinating cross-functional teams across data engineering, architecture, testing, and operations.

The role emphasizes stakeholder engagement, vendor governance, and executive reporting with hybrid delivery approaches.