Data Delivery Lead

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).