Delivery Lead, Data Science Hub (EL1)

Softtest pays pty ltd

City of Melbourne

On-site

AUD 120,000 - 170,000

Full time

14 days+
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Job summary

Softtest pays pty ltd seeks an EL1 Delivery Lead for the Data Science Hub (DaSH) to coordinate delivery of data science, ML, AI and analytics initiatives. You will work with Lead Data Scientists, AI Engineering leads and business stakeholders to keep initiatives aligned with business needs and governance requirements.

You will facilitate ceremonies, manage backlogs and dependencies, and support from discovery through handover while ensuring technical feasibility and stakeholder buy-in across

Qualifications

  • Leads and coordinates delivery of data science/ML/AI initiatives across DaSH.
  • Collaborates with Lead Data Scientists, AI Engineering leads and business stakeholders.
  • Ensures governance, reporting and executive submissions are prepared and aligned.

Responsibilities

  • Facilitate and coordinate delivery across DaSH squads and multiple initiatives.
  • Manage priorities, delivery plans, risks, dependencies and decision points.
  • Support discovery to proof of concept, pilot and handover phases as appropriate.
  • Maintain delivery progress visibility through reporting and governance artefacts.
  • Foster a productive delivery environment with clearly defined roles and accountability.
  • Coordinate with Lead Data Scientists and AI/Engineering leads to reflect feasibility and technical realities.

Skills

Delivery leadership
Agile delivery
Stakeholder management
Data science familiarity
Cross-functional collaboration

Job description

Softtest pays pty ltd seeks an EL1 Delivery Lead for the Data Science Hub (DaSH) to coordinate delivery of data science, ML, AI and analytics initiatives. You will work with Lead Data Scientists, AI Engineering leads and business stakeholders to keep initiatives aligned with business needs and governance requirements.

You will facilitate ceremonies, manage backlogs and dependencies, and support from discovery through handover while ensuring technical feasibility and stakeholder buy-in across

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