At a Glance
- Tasks: Lead the development of innovative data products and drive meaningful client connections.
- Company: Join a forward-thinking company focused on People Intelligence and data innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Shape the future of data products and make a real impact in a dynamic environment.
- Qualifications: 3+ years in data product management with strong teamwork and communication skills.
- Other info: Fast-paced, creative culture with excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
The Data Product Manager will help shape the future of People Intelligence, driving innovation, and enable clients to make meaningful connections using Altrata data. The Data Product Manager is responsible for identifying, preparing, designing, and communicating data product requirements to the data and technical teams and for ensuring successful delivery of data products to our customers. They help bridge the desires and needs of our customers with the execution of capabilities from our technology and data teams. They must work closely with Engineering, Product, Data, Commercial and support teams to drive Data business growth.
Responsibilities
- Serve as subject matter expert and product lead for AltrataTM data products.
- Utilize knowledge of AltrataTM data to support commercial and marketing departments and ensure AltrataTM data drives revenue and maximises client value.
- Owner of the data product lifecycle from ideation and discovery, through development and launch.
- Build and execute the data product roadmap: deconstruct epics into features and/or user stories. Groom, prioritize, manage tradeāoffs through flexibility in accommodating ad hoc requests.
- Lead the gathering of technical, as well as customer requirements, to ensure epics and user stories are detailed and empower the team to be effective and efficient.
- Work with other Product Managers to ensure the sprints and program increments in a release represent what is needed, and that ROI is in line with expectations.
- Work with UX team to ensure alignment between data requirements and visual designs.
- Ensure Product leadership is aware of key issues and changes, and provide them with the right information and recommendations to resolve these.
- Liaise between the product management, data and technology teams to ensure prioritization is recognized and understood.
- Lead product review sessions and user acceptance testing sessions, to ensure new data meets product requirements.
Key requirements
- 3+ years of experience in data strategy or data product management.
- Strong understanding of working with structured and unstructured data, and an understanding of the main concepts of data modelling, entityāresolution, databases, and data management practices.
- Ability to translate the product roadmap epics into scrum team epics, features, and/or user stories, organizing them into defined sprints and product releases.
- Selfāstarter, who is organized, detail oriented, takes initiative with minimal direction, and grasps concepts quickly.
- Ensure the team delivers the desired customer value and customer outcomes.
- Must be a strong team player, as well as an individual contributor.
- Thrives when working in a fastāpaced, creative, innovative technology environment.
Desired skills
- Has worked in dataācentric products within financial or professional services, wealth intelligence, or enterprise data platforms. Exposure to B2B SaaS data products and appreciation of client use cases.
- Familiarity with advanced analytics, machine learning, or AIādriven data curation. Experience with data enrichment, entity resolution, and leveraging AI to scale data research and curation is beneficial.
- Experience as a Business Analyst, Product Owner or Product Manager role, managing all stages of the software product life cycle. With strong stakeholder management, requirements gathering, prioritisation, crossāteam coordination, problemāsolving, and the ability to translate complex data issues into clear product decisions. Comfortable driving discovery, VOC, and roadmap execution.
- Effective working with workflow, prioritization and project management tools, such as Jira, Confluence, Aha.
- Offer guidance and mentorship to the scrum team, champion a culture of openness, collaboration, and innovation.
- Experience working with Google Analytics, and other Business Intelligence reporting platform(s).
Data Product Manager in London employer: Altrata Group
Contact Detail:
Altrata Group Recruiting Team
StudySmarter Expert Advice š¤«
We think this is how you could land Data Product Manager in London
āØTip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
āØTip Number 2
Prepare for interviews by researching the company and its products. Understand how they use data and be ready to discuss how your experience aligns with their needs. Show them youāre not just another candidate, but someone who genuinely cares about their mission.
āØTip Number 3
Practice your pitch! Be clear about your skills and how they relate to the Data Product Manager role. Highlight your experience with data strategy and product management, and donāt forget to mention any relevant tools youāve used, like Jira or Confluence.
āØTip Number 4
Apply through our website! Itās the best way to ensure your application gets seen by the right people. Plus, it shows youāre serious about joining our team and contributing to the exciting work we do with Altrata data.
We think you need these skills to ace Data Product Manager in London
Some tips for your application š«”
Tailor Your CV: Make sure your CV speaks directly to the Data Product Manager role. Highlight your experience with data strategy and product management, and donāt forget to mention any relevant projects that showcase your skills in working with structured and unstructured data.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why youāre passionate about People Intelligence and how your background aligns with our mission at StudySmarter. Be specific about how you can contribute to driving innovation with Altrata data.
Showcase Your Team Spirit: We love team players! In your application, share examples of how you've collaborated with cross-functional teams in the past. Highlight your ability to bridge gaps between technical and non-technical stakeholders, as this is key for the role.
Apply Through Our Website: Donāt forget to submit your application through our website! Itās the best way for us to receive your details and ensures youāre considered for the role. Plus, it shows youāre keen on joining the StudySmarter family!
How to prepare for a job interview at Altrata Group
āØKnow Your Data Inside Out
As a Data Product Manager, you need to be the go-to expert on Altrata data. Brush up on your knowledge of structured and unstructured data, data modelling, and entity resolution. Be ready to discuss how these concepts can drive client value and revenue during your interview.
āØShowcase Your Project Management Skills
Be prepared to talk about your experience with managing the data product lifecycle. Highlight specific examples where you've successfully deconstructed epics into user stories and managed trade-offs. This will demonstrate your ability to lead and prioritise effectively in a fast-paced environment.
āØEmphasise Team Collaboration
Since this role requires close collaboration with various teams, share examples of how you've worked with Engineering, UX, and Commercial teams in the past. Discuss how youāve facilitated communication and ensured alignment between different stakeholders to achieve common goals.
āØPrepare for Technical Questions
Expect to face technical questions related to data strategy and product management tools like Jira and Confluence. Brush up on your understanding of advanced analytics and AI-driven data curation, as these are key components of the role. Being well-prepared will show that youāre serious about the position.