Scrum Master – AI & Data Projects
Confidential
Posted: February 12, 2026
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Quick Summary
The Scrum Master – AI & Data Projects is responsible for enabling the Agile delivery of data, analytics, and artificial intelligence initiatives that support operational and advisory decision-making.
Required Skills
Job Description
Agri Technovation is a leading AgTech & Input business that operates throughout selected international markets as part of a global group of Agri Technovation (AT) companies. As a fast-growing business, we are looking to expand our team with suitably qualified and experienced candidates looking for an opportunity to become part of our company and all it has to offer.
The Scrum Master – AI & Data Projects is responsible for enabling the Agile delivery of data, analytics, and artificial intelligence initiatives that support operational and advisory decision-making. The role is built on a strong foundation in business analysis, data analytics, and process improvement, and evolves this capability into Agile facilitation, delivery enablement, and continuous improvement leadership.
The successful candidate will act as a leader and Agile coach for cross-functional teams delivering AI-driven insights, analytics platforms, and decision-support tools. Working closely with subject-matter experts, data scientists, engineers, product owners, and business stakeholders, the role ensures that complex business and operational requirements are translated into well-prioritised backlogs and delivered iteratively with measurable value.
The role supports the profitability and scalability of client solutions through effective Agile delivery and data-driven execution.
Main Responsibilities
Agile & Scrum Facilitation
Facilitate Scrum ceremonies including sprint planning, daily stand-ups, sprint reviews, and retrospectives for AI and data delivery teams.
Coach teams and stakeholders on Agile and Scrum principles.
Identify and remove impediments impacting delivery.
Support Agile practices in exploratory AI use cases.
AI & Data Project Delivery
Enable delivery of AI, analytics, and data-driven solutions.
Collaborate with Product Owners on backlog prioritisation.
Ensure clear user stories and acceptance criteria.
Support iterative experimentation and learning cycles.
Business Analysis & Stakeholder Enablement
Translate business needs into epics and user stories.
Bridge business stakeholders and technical teams.
Facilitate workshops and backlog refinement sessions.
Support process improvement initiatives.
Data, BI & Delivery Support
Track delivery metrics and team performance.
Support BI and data quality initiatives.
Report delivery progress and outcomes.
Continuous Improvement
Promote Agile metrics and retrospectives.
Encourage effective team practices.
Skills and Capabilities
Strong understanding of Agile and Scrum principles
Solid business analysis background
Strong analytical and systems-thinking skills
Ability to translate complex concepts into user stories
Experience with data, analytics, or AI teams
Strong communication and facilitation skills
Continuous improvement mindset
Awareness of AI and advanced analytics concepts
Minimum Requirements
Qualifications
Bachelor’s degree in Industrial Engineering, Informatics, Information Science, Business Analysis, Data Analytics, Agriculture with analytics focus, or related field
Experience
3–5 years’ experience in business analysis, data analytics, or process improvement
Experience working in Agile environments
Experience with data, BI, analytics, or AI initiatives
Experience with data visualisation tools (Power BI preferred)
SQL experience advantageous
Exposure to BI administration or data governance advantageous