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
1) 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.
2) 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
.
3) 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.
4) 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.
5) 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.
6) 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
.
Nice‑to‑Have
* 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.
* Certifications:
Scrum Master (PSM/CSM)
,
Prince2/PMI
,
SAFe
,
Azure/AWS
fundamentals.
Tools & Technologies
* Delivery:
Jira, Confluence, MS Project/Smartsheet, Miro.
* Visualization/Reporting:
Power BI/Tableau, Excel.
* Collaboration:
MS Teams, SharePoint.
Data (nice‑to‑have):
Azure Data Factory, Databricks, Synapse, SQL, Python (for analysis/validation).