EL1 Delivery Lead, Data Science Hub

Halcyon Knights; Sydney; Hybrid; AUD 160,000 - 190,000; Full time

Job summary

Halcyon Knights is seeking an experienced EL1 Delivery Lead to join the Data Science Hub, delivering AI, ML and analytics initiatives across multiple squads. You will coordinate diverse teams, manage priorities and dependencies, and ensure delivery from problem discovery through to PoC and handover.

The role focuses on enabling effective delivery, agile practices, governance, and alignment between business objectives and technical delivery in a large government/enterprise setting.

Qualifications

• Demonstrated experience delivering complex data, analytics, AI, or digital initiatives within large organisations or government.
• Proven ability to work collaboratively with technical leads, data scientists, AI engineers, business analysts and stakeholders.
• Strong understanding of Agile, hybrid and fit-for-purpose delivery methodologies, including sprint ceremonies and backlog management.
• Excellent stakeholder engagement and governance documentation, including executive reporting and business cases.

Responsibilities

• Facilitate delivery of multiple data science, AI, ML and analytics initiatives across multidisciplinary teams.
• Coordinate delivery plans, priorities, dependencies, risks, issues and resources across concurrent projects.
• Partner with leads to align delivery approaches with technical requirements and business outcomes.
• Lead discovery workshops and scoping activities to define problems, options, success measures and PoC proposals.
• Facilitate Agile ceremonies, sprint planning, showcases, retrospectives and backlog refinement.
• Support portfolio planning, delivery reporting, governance artefacts, business cases and executive submissions.
• Manage stakeholder engagement across technical teams, business areas, governance and executives.
• Ensure compliance with agency governance, privacy, cyber security, data access and AI assurance.
• Drive continuous improvement in delivery practices and team collaboration.
• Demonstrate experience delivering data science, AI, ML, analytics or automation initiatives.
• Familiarity with model development lifecycles, MLOps, responsible AI and cloud-based AI delivery.
• Experience managing PoCs, pilots or prototypes and transitioning to operations.
• Prepare executive reports, governance artefacts and delivery roadmaps.

Job description

Location: Melbourne or Sydney
Contract: 12 months + 12-month extension
Start Date: 9 November 2026
Working Arrangements: Hybrid
Security Clearance: Must be able to obtain Baseline

The Opportunity

We are seeking an experienced EL1 Delivery Lead to join the Data Science Hub (DaSH), facilitating the delivery of innovative data science, artificial intelligence (AI), machine learning and advanced analytics initiatives.

Working closely with Lead Data Scientists, AI Engineers, Business Analysts and senior stakeholders, you will coordinate multidisciplinary teams, manage delivery priorities and dependencies, and ensure complex initiatives progress from business problem discovery through to proof of concept, implementation and operational handover.

This is a key leadership role focused on enabling effective delivery across multiple squads, supporting Agile practices, strengthening governance and maintaining alignment between business objectives and technical delivery.

Key Responsibilities

• Facilitate the delivery of multiple data science, AI, machine learning and advanced analytics initiatives across multidisciplinary teams.
• Coordinate delivery plans, priorities, dependencies, risks, issues and resources across concurrent projects.
• Partner with Lead Data Scientists and AI & Engineering leads to align delivery approaches with technical requirements and business outcomes.
• Lead discovery workshops and scoping activities to define business problems, solution options, success measures and proof of concept proposals.
• Facilitate Agile ceremonies, sprint planning, showcases, retrospectives and backlog refinement, tailoring delivery practices to suit data science and AI initiatives.
• Support the Portfolio Director, Data Science with portfolio planning, prioritisation, delivery reporting, governance artefacts, business cases and executive submissions.
• Manage stakeholder engagement and communication across technical teams, business areas, governance functions and senior executives.
• Support compliance with agency governance, privacy, cyber security, data access, responsible AI and assurance requirements.
• Drive continuous improvement in delivery practices, team collaboration, transparency and accountability.
• Demonstrated experience delivering complex data, analytics, AI, machine learning, digital or technology initiatives within large organisations or government.
• Proven ability to work collaboratively with technical leads, data scientists, AI engineers, business analysts and business stakeholders.
• Strong understanding of Agile, hybrid and fit-for-purpose delivery methodologies, including facilitating sprint ceremonies and managing backlogs.
• Excellent stakeholder engagement and communication skills, including executive reporting, governance documentation and business case preparation.
• Proven ability to manage competing priorities, risks, issues, dependencies and stakeholder expectations across multiple initiatives.
• Ability to work effectively with technical leaders, supporting their expertise while coordinating delivery and achieving shared outcomes.
• Experience delivering data science, machine learning, AI, advanced analytics or automation initiatives.
• Familiarity with model development lifecycles, MLOps, responsible AI, AI assurance, data governance or cloud-based AI delivery.
• Experience managing proof of concepts, pilots or prototypes and transitioning experimental solutions towards operational implementation.
• Experience preparing executive-level reports, business papers, governance artefacts and delivery roadmaps.
• Position: 1 x EL1 Delivery Lead
• Initial Contract: 12 months
• Extension: 1 x 12 months
• Expected Start: Monday, 9 November 2026
• Location: Melbourne or Sydney
• Work Arrangement: Hybrid
• Hours: 37.5 hours per week
• Clearance: Must be able to obtain Baseline Security Clearance

EL1 Delivery Lead – Data Science & AI

Location: Melbourne or Sydney
Contract: 12 months + 12-month extension
Start Date: 9 November 2026
Working Arrangements: Hybrid
Security Clearance: Must be able to obtain Baseline

The Opportunity

We are seeking an experienced EL1 Delivery Lead to join the Data Science Hub (DaSH), facilitating the delivery of innovative data science, artificial intelligence (AI), machine learning and advanced analytics initiatives.

Working closely with Lead Data Scientists, AI Engineers, Business Analysts and senior stakeholders, you will coordinate multidisciplinary teams, manage delivery priorities and dependencies, and ensure complex initiatives progress from business problem discovery through to proof of concept, implementation and operational handover.

This is a key leadership role focused on enabling effective delivery across multiple squads, supporting Agile practices, strengthening governance and maintaining alignment between business objectives and technical delivery.

Key Responsibilities

• Facilitate the delivery of multiple data science, AI, machine learning and advanced analytics initiatives across multidisciplinary teams.
• Coordinate delivery plans, priorities, dependencies, risks, issues and resources across concurrent projects.
• Partner with Lead Data Scientists and AI & Engineering leads to align delivery approaches with technical requirements and business outcomes.
• Lead discovery workshops and scoping activities to define business problems, solution options, success measures and proof of concept proposals.
• Facilitate Agile ceremonies, sprint planning, showcases, retrospectives and backlog refinement, tailoring delivery practices to suit data science and AI initiatives.
• Support the Portfolio Director, Data Science with portfolio planning, prioritisation, delivery reporting, governance artefacts, business cases and executive submissions.
• Manage stakeholder engagement and communication across technical teams, business areas, governance functions and senior executives.
• Support compliance with agency governance, privacy, cyber security, data access, responsible AI and assurance requirements.
• Drive continuous improvement in delivery practices, team collaboration, transparency and accountability.

Essential Criteria

• Demonstrated experience delivering complex data, analytics, AI, machine learning, digital or technology initiatives within large organisations or government.
• Proven ability to work collaboratively with technical leads, data scientists, AI engineers, business analysts and business stakeholders.
• Strong understanding of Agile, hybrid and fit-for-purpose delivery methodologies, including facilitating sprint ceremonies and managing backlogs.
• Excellent stakeholder engagement and communication skills, including executive reporting, governance documentation and business case preparation.
• Proven ability to manage competing priorities, risks, issues, dependencies and stakeholder expectations across multiple initiatives.
• Ability to work effectively with technical leaders, supporting their expertise while coordinating delivery and achieving shared outcomes.

Desirable Criteria

• Experience delivering data science, machine learning, AI, advanced analytics or automation initiatives.
• Familiarity with model development lifecycles, MLOps, responsible AI, AI assurance, data governance or cloud-based AI delivery.
• Experience managing proof of concepts, pilots or prototypes and transitioning experimental solutions towards operational implementation.
• Experience preparing executive-level reports, business papers, governance artefacts and delivery roadmaps.

Contract Details

• Position: 1 x EL1 Delivery Lead
• Initial Contract: 12 months
• Extension: 1 x 12 months
• Expected Start: Monday, 9 November 2026
• Location: Melbourne or Sydney
• Work Arrangement: Hybrid
• Hours: 37.5 hours per week
• Clearance: Must be able to obtain Baseline Security Clearance