Data Fabric - Product Team

Background 

Data is one of our most significant competitive assets, and our ability to leverage it dynamically at scale will be a key differentiator for our products and services in the years to come. The industry is experiencing rapid growth in AI/ML, with new capabilities emerging at a rapid pace (e.g., speech-to-text, real-time translation). Within our business, data is a crucial enabler for impactful internal projects that enhance efficiency and accelerate growth. Our goal is to develop an internal AWM platform that makes data discoverable, trusted, and available at scale to support both business growth and the evolving use of AI/ML

The strategic objective of the AWM Data Platform Product team is to connect the Producers and Consumers of data in a scalable, performant and seamless manner that allows Consumers to have an improved overall consumption experience.  It aims to do this by

• Streamlining Data Discovery and Access for Consumers: Enable Data Consumers (humans and systems) to discover and access data in a controlled manner, providing insights into data quality and points of contact for inquiries. This ensures Consumers can utilize data confidently without needing to create compensatory processes for data robustness.
• Empowering Data Producers by providing ability to make their data :
  • Available: Provide the tools that will enable data to be made available on Mesh and distributed to meet consumer need 
  • Discoverable: Ensure data is easily and intuitively discoverable by Consumers.
  • Trusted: Develop robust, efficient, and rapidly adoptable common Data Quality (DQ) tools, along with a comprehensive DQ ecosystem, to support visibility and issue resolution for Consumers.
  • Traceable: Enable Consumers to understand data sources and lineage, promoting accountability in data management and enhancing regulatory controls.

Role Overview:

As the part of the Product Team for the Data Platform, you will be at the forefront of driving the development and adoption of a decentralized data architecture within the organization. This role, which is key to enable our data is AVAILABLE, requires a strategic thinker who can translate the vision of empowering domain teams as data producers into actionable product features and enhancements. You will ensure the platform remains flexible and adaptable, while continuously gathering user feedback to refine the onboarding experience and streamline operations. Partnering with and leading the implementation lead will be key to this role, whilst managing a close relationship with the Data Engineering Product lead

Key Objectives:

• Product Vision for Decentralization: Support the Product Owner in defining and executing a product vision for a decentralized data architecture that empowers domain teams to act as data producers of best in class data offerings and in addition ensure that the strategic needs of consumers are delivered
• Self-Serve Infrastructure Development: Deliver the development of a self-serve infrastructure that enables the publication of data products with integrated standards for quality, access, and governance.
• Federated Governance Integration: Ensure the integration of federated governance to maintain consistency, compliance, and interoperability at scale.

Responsibilities:

• Product Vision and Roadmap: Assist in developing and communicating a clear product vision and roadmap for the platform that will support the data mesh paradigm, aligning it with organizational goals and user needs.
• Platform Agnosticism: Ensure the platform remains adaptable to various technologies and tools, supporting a wide range of user requirements.
• User Feedback and Iteration: Establish processes to gather and analyze feedback from key users via the Mesh Onboarding team, using insights to drive product iterations and enhancements.
• Operational Efficiency: Identify and prioritize product features that reduce operational toil and accelerate platform adoption, improving overall user experience.
• Collaboration with Domain Teams: Work closely with domain teams to understand their needs and ensure the platform supports their role as data producers – and use that interaction to help inform an appropriate domain/sub-domain structure
• Governance and Compliance: Collaborate with governance teams to integrate federated governance practices into the platform, ensuring data consistency and compliance.
• Training and Support Materials: Develop and oversee the creation of training materials and support resources to facilitate effective platform use.
• Product Metrics and Reporting: Define and track product metrics to measure success and provide insights to stakeholders on platform adoption and performance.

Qualifications:

• Experience in managing and implementing data architecture programs as a consultant or within industry
• Knowledge of Product Ownership practice and a tack record in managing delivery across multiple stakeholders