Data Product Manager
London, United Kingdom
Euronext
Euronext is the pan-European stock exchange and market infrastructure, connecting European economies to global capital markets to accelerateCommcise offers independent, cloud-based (SAAS), fully-integrated commission management and research valuation solutions to the buy-side, sell-side and research providers through its COMMCISEBUY, COMMCISESELL and COMMCISECS product suite. With over 600 buy-side and sell-side clients globally, Commcise’s clients include some of the largest institutional asset managers, hedge funds, brokers and research providers in the world. Commcise is a company of Euronext, the leading pan-European exchange in the Eurozone.
Commcise is seeking an experienced and passionate individual to join our team to:
- build-out new Data Products
- integrate AI into existing business functionality.
The ideal candidate will have a strong understanding of data products, AI integration, and data pipelines, and will work closely with cross-functional teams to deliver innovative solutions that meet the needs of our clients.
The role entails:
Product Strategy and Roadmap:
- Define and execute the product strategy and roadmap for data solutions.
- Identify market opportunities and customer needs to drive product innovation.
Cross-Functional Collaboration:
- Work closely with data scientists, engineers, and stakeholders to develop and deliver data products.
- Ensure seamless integration of AI capabilities into existing business functionalities.
Data Pipeline Management:
- Oversee the design and optimisation of data pipelines to support product development and delivery.
- Collaborate with data engineers to ensure efficient data flow and processing.
Product Development:
- Prioritise features and enhancements based on customer feedback and business objectives.
- Work with the development team ensure quality deliverables, from ideation to launch.
Stakeholder Communication:
- Communicate product vision, strategy, and progress to both technical and non-technical stakeholders.
- Gather and incorporate feedback to continuously improve product offerings.
Key Accountabilities
- Develop and maintain a comprehensive product strategy and roadmap that aligns with business objectives and market demands
- Collaborate with and coordinate cross-functional teams, including data scientists, engineers, and stakeholders, to ensure successful product development and delivery
- Oversee the design, implementation, and optimisation of data pipelines to ensure efficient data processing and integration into product solutions
- Engage with internal and external stakeholders to gather feedback, communicate product vision, and ensure alignment with customer needs and expectations
- Monitor product performance and user feedback, implementing improvements and optimisations to enhance product quality and customer satisfaction.
Knowledge, Skills and Experience Required
Essential:
- Minimum of 3 years of experience in product management, preferably in data-driven solutions.
- Strong understanding of data structures, algorithms, AI concepts, and data pipeline architectures.
- Proven track record of delivering successful products in a fast-paced environment.
Desirable:
- Experience with cloud computing platforms (e.g., AWS, GCP, Azure).
- Familiarity with data visualisation tools and APIs.
- Knowledge of machine learning techniques and libraries.
Education:
- Bachelor’s or Master’s degree in Business, Computer Science, Data Science, or a related field.
Profile and Skills:
- Strong leadership and communication skills.
- Ability to work collaboratively in a cross-functional team.
- Excellent analytical and problem-solving abilities.
- Entrepreneurial mindset with a focus on innovation and customer satisfaction.
Euronext Values
Unity
• We respect and value the people we work with
• We are unified through a common purpose
• We embrace diversity and strive for inclusion
Integrity
• We value transparency, communicate honestly and share information openly
• We act with integrity in everything we do
• We don’t hide our mistakes, and we learn from them
Agility
• We act with a sense of urgency and decisiveness
• We are adaptable, responsive and embrace change
• We take smart risks
Energy
• We are positively driven to make a difference and challenge the status quo
• We focus on and encourage personal leadership
• We motivate each other with our ambition
Accountability
• We deliver maximum value to our customers and stakeholders
• We take ownership and are accountable for the outcome
• We reward and celebrate performance
We are proud to be an equal opportunity employer. We do not discriminate against individuals on the basis of race, gender, age, citizenship, religion, sexual orientation, gender identity or expression, disability, or any other legally protected factor. We value the unique talents of all our people, who come from diverse backgrounds with different personal experiences and points of view and we are committed to providing an environment of mutual respect.
Additional Information
This job description is only describing the main activities within a certain role and is not exhaustive. It does not prevent to add more tasks, projects.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture AWS Azure Computer Science Data pipelines GCP Machine Learning Pipelines Research
Perks/benefits: Career development Transparency
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