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Senior Product Owner – Cognition and ML
Senior Product Owner – Cognition and ML
As a Senior Product Owner for Cognition and ML, you will be crucial to the Machine Learning Product Team, managing models and tooling to identify compliance risks in communications data. You will define and drive product development, working closely with engineering and design teams to translate product strategy into detailed requirements and bring new ML/NLP capabilities to market.
About the role
About the Role
You will be part of the Cognition and Machine Learning Product Team. We manage the models, scenarios and tooling that our customers use to identify compliance risks in their communications data from chat to email to calls. You will be a Product Owner for delivery teams composed of Machine Learning Engineers, Data Scientists and Data Engineers helping to define and drive our product development forward.
Roles & Responsibilities
- Manage and prioritise backlogs, defining sprint priorities and writing user stories/acceptance criteria for our engineering teams.
- Write Epic specifications in partnership with our engineering and design teams.
- Work closely with our Product Managers to convert product strategy to detailed requirements and prototypes that can be translated into our development processes.
- Help to develop and bring new ML and NLP capabilities and innovations to market.
- Write feature specifications and product discovery documents and help our Sales teams respond to RFPs.
- Attend and actively participate in team ceremonies (stand-ups, retros, and planning meetings).
- Coordinate efforts with globally dispersed teams.
- This role is remote with some trips to the office.
Required Skills & Experience
- Minimum 3 years industry experience.
- Proven experience as a Product Owner in an Agile environment.
- Knowledge of communications surveillance/compliance in a Financial Services context. This could have been gained within a FinTech, Consultancy, Compliance Technology vendor or a Financial Institution.
- Data Analysis, Machine Learning and/or Natural Language Processing knowledge.
- Experience with software engineering and product management tools such as Jira, Confluence, Miro, ProductBoard.
- A growth mindset and a commitment to quality.