Data Delivery Lead

Overview
Position
: Data Delivery Lead
Location
: Sydney
Duration
: 6 months
Position Summary
We don't sit back and wait for the future to happen—we craft it through technology, innovation, and investment. As a challenger brand with challenger spirit, seeking a
Delivery Lead
to drive the enterprise-wide
data lifecycle management
agenda. Partnering closely with the
Data Product Manager
, architects, and application owners, you will orchestrate discovery, solution design, and delivery of scalable data management and
data retention
patterns across the Optus group.
This role blends
delivery leadership
with
data/application analysis
: you will lead cross-functional teams, run workshops, map processes, prioritize and govern backlogs, and ensure the timely, high-quality implementation of data retention and risk-mitigation capabilities.
Key Responsibilities
Delivery Leadership & Governance
Own end-to-end delivery (scope, schedule, budget, quality) for the Data Lifecycle/Retention workstream(s).
Establish and run delivery governance: RAID (Risks, Assumptions, Issues, Dependencies), change control, approvals, and compliance gates.
Coordinate cross-functional squads (engineering, architecture, security, risk, legal, product, business) to meet milestones and value outcomes.
Manage vendor/partner deliverables and ensure contract/SLA adherence where applicable.
Provide clear, proactive communications—status, decisions, and escalations—to stakeholders and leadership.
Data & Application Analysis
Lead investigations of applications and their data to assess
risks, retention needs, and compliance
(spanning brands, segments, channels).
Collaborate with application owners and technical SMEs to understand
data flows
,
integration points
, business/technology processes, and their impact on data assets.
Provide
reporting, visualizations, and insights
based on data analysis to inform design decisions.
Gather and analyze stakeholder requirements for effective
data risk management
.
Solution Design & Delivery
Work with solution architects, product managers, and business stakeholders to
design, develop, and evaluate
data retention and management solutions.
Identify opportunities to enhance data risk management through
automation and technology
.
Translate requirements into
Epics, User Stories, Acceptance Criteria, and Test Cases
in Jira; keep the backlog prioritized with clear timelines.
Break down deliverables with architects/engineers into estimable increments; enable
incremental value delivery
.
Collaborate with engineers and testers to ensure deliverables meet
Definition of Done
and acceptance criteria; provide actionable feedback.
Agile Facilitation & Ways of Working
Facilitate team ceremonies:
daily stand-ups, sprint planning, reviews/demos, retrospectives, and backlog refinement
.
Document outcomes from workshops/meetings with clarity and convert insights into
actionable backlog items
.
Champion continuous improvement in throughput, flow efficiency, and quality.
Risk, Compliance & Quality
Ensure solutions align with data policies (retention, privacy, information security), regulatory obligations, and internal standards.
Define and monitor
quality measures
(test coverage, defect leakage, audit readiness).
Partner with Security, Risk, and Legal on
data risk mitigation
, audit artifacts, and evidence.
Stakeholder Management & Change Enablement
Engage and align diverse stakeholders—from engineers to executives—through structured communications and decision forums.
Prepare change impact assessments, training/enablement plans, and adoption metrics for business readiness.
Stakeholder Engagement
: Able to track down and engage appropriate stakeholders and technical SMEs; experienced in
requirements/ideation/solution workshops
.
Technical Fluency
: Strong technical/engineering awareness (data preferred), able to understand
architecture, integration points
, and application landscapes.
Delivery Mindset
: Highly organized, self-motivated, detail-oriented; excellent at
prioritization, dependency management, and execution
.
Problem Solving
: Proactive, analytical thinker who finds opportunities in constraints.
Agile Expertise
: Strong understanding of
Scrum and Kanban
; proven facilitation and coaching in agile ceremonies.
Required Qualifications & Experience
8–12+ years of total experience, including
4–6+ years
leading
data or application delivery
initiatives in complex enterprises.
Demonstrated success delivering
data management/data retention
or adjacent data governance/risk management solutions.
Hands-on experience with
Jira/Confluence
(or similar) for backlog and delivery governance.
Proven ability to manage
RAID
, cross-team dependencies, and executive-level reporting.
Strong communication and documentation skills; ability to convert discovery into
clear, testable work items
.
Exposure to
Azure/AWS/GCP
data platforms (e.g., ADLS/S3, ADF/Glue, Synapse/BigQuery, Databricks/Spark).
Knowledge of data governance/privacy (e.g.,
GDPR
, retention schedules, information classification).
Experience in
telecom
or large-scale consumer services.
Tools & Technologies
Data (nice-to-have):
Azure Data Factory, Databricks, Synapse, SQL, Python (for analysis/validation).
Seniority level
Mid-Senior level
Employment type
Contract
Job function
Information Technology
Industries
IT Services and IT Consulting
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