Master agile data product management, governance and strategy. Build the expertise to lead data and AI products that deliver measurable business value.
This Accelerator provides an in-depth exploration of agile data product management and the standards shaping the role across industries. Participants will combine technical understanding with strategic thinking to deliver data products that generate measurable value.
Through a blend of hands-on learning and a capstone project, you will gain the full skill set of a data product owner, from agile delivery and human-centred design to governance, quality, and AI-powered decision-making.
As organisations grow more data-driven, effective data product management is becoming essential. The ability to connect technical teams, business priorities and governance frameworks ensures data products deliver impact, scalability and trust.
Professionals managing or supporting data and AI initiatives who want to strengthen their strategic and delivery capabilities. Ideal for aspiring or current data product owners and managers.
By the end of the programme, you’ll be able to:
– Apply Agile principles to manage data and AI products with flexibility and iterative delivery.
– Use human-centred design to develop and validate effective data product solutions.
– Build and communicate strategic roadmaps for data and AI initiatives.
– Align stakeholders on priorities, governance and responsible AI use cases.
– Implement data governance and compliance frameworks that ensure quality and value.
– Leverage AI tools to enhance decision-making and drive innovation.
– Manage data quality, lineage and scalability across platforms and teams
Decoded has spent over a decade helping global organisations build data and digital confidence. Our blended learning model combines live sessions, hands-on practice and tailored content to fit your organisation’s tools, challenges and goals.
Learn to apply Agile principles and iterative delivery to data and AI products. Explore how agile sprints, backlog management and collaboration methods keep products aligned to business goals.
Use human-centred design to identify, test and validate solutions that meet user needs. Learn to balance stakeholder requirements with technical feasibility and data ethics.
Develop and communicate long-term visions for your data and AI products. Learn practical methods for prioritising features, managing dependencies and measuring progress.
Gain the tools to engage and align business, data and compliance stakeholders. Learn to manage priorities, governance responsibilities and responsible AI use cases.
Implement frameworks that uphold data quality, consistency and compliance. Explore standards that safeguard information and maintain trust across the data lifecycle.
See how AI technologies can enhance data-driven decision-making. Learn to evaluate opportunities for automation, insight generation and innovation within your organisation.
Explore tools and platforms that manage data quality, lineage and model scalability. Understand how to ensure reliability and performance as data products evolve.
If you’re ready to turn Data and AI into results, leave your details and we’ll recommend the right programme for your goals and team.
