What you’ll do

• Oversee the full lifecycle of data assets, from ingestion and maintenance to accessibility and optimization.
• Define and understand customer needs related to D&A assets, ensuring that our products deliver value and meet market demands.
• Develop and execute a strategic vision for Decision Intelligence’s D&A assets, contributing to the overall success of the business.
• Act as a Technical Product Manager, driving product development and ensuring alignment with business objectives.
• Collaborate with Product Managers, DI technical teams, and Technology teams to ensure seamless integration and delivery of DA assets.
• Identify and address bottlenecks that impact asset value, and optimize the effectiveness of the asset
• Develop a deep understanding of data product pipelines and data
• Understand and support implementation of data product requirements
• Communicate about data products with internal consumers
• Participate and contribute to new data product initiatives

What experience you need

• Bachelor’s degree in a related discipline; Master’s Degree strongly preferred

• 5+ Years working in an enterprise environment with a strong understanding of data, models, and analytical tools in financial industry.

• Commercial Acumen: Ability to understand and drive commercial outcomes for data.

• Familiarity with Agile and other project management methods. Cloud certification and experience with cloud or on prem technologies, structured and unstructured data, streaming and reposed data.

• Problem-Solving Skills: A positive, solution-oriented, and pragmatic approach to problem-solving.

• Communication and Collaboration: Ability to communicate effectively and work collaboratively across different teams.

• Experience with SQL and BI Tools (Looker, BigQuery, Tableau, etc.), data management and/or cloud data management, product and work management tools (Aha!, Jira, ServiceNow), written and oral presentation, and data governance tools (Collibra, Informatica, etc.)

• Google Cloud certification strongly preferred

What could set you apart

• Google Cloud certification strongly preferred

• Flexibility work across A/NZ timezones.

• Self Starter

• Excellent communicator / Client Facing

• Experience in Financial Services or ML/AI products: Experience in data analysis, product management, or consulting within
  the financial services industry.

• Business Acumen: A strong understanding of business needs and the ability to translate technical concepts into business
  language

• Leadership Skills: Ability to lead and influence others, driving strategic initiatives and delivering tangible outcomes.