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- Tasks: Lead the development of innovative data and AI products to drive business impact.
- Company: Join a fast-growing, diversity-certified global workforce solutions company.
- Benefits: Competitive salary, career growth opportunities, and a dynamic work environment.
- Other info: Collaborative culture with opportunities to work across global teams.
- Why this job: Shape the future of data and AI while making a real difference in the industry.
- Qualifications: 5 years of product management experience and a strong background in data and AI.
The predicted salary is between 60000 - 80000 £ per year.
About Us: Net2Source Inc. is one of the fastest growing diversity certified global workforce solutions companies with an unprecedented YoY growth of over 100% for the last 6 years working with Fortune 1000/Global 2000 across 34 countries and 5 continents including North America, South America, Europe, Asia, Australia and the Middle East.
Role: Data Product Manager
Type: Perm/FTE
Within the broader Insights and Analytics team, the Data Enablement team functions as part of the Insights and Analytics organization and plays a critical role in advancing our data and AI capabilities to support Global Client Groups. We focus on making trusted, relevant and well governed data easily accessible to stakeholders across Sales, Marketing, Digital Experience and Servicing. Through thoughtful design and delivery of standard reusable data and AI powered products, we empower downstream teams with robust self-service capabilities, enable advanced analytics and automation, and unlock new business use cases.
As a Data Product Manager for AI Data Products, you will shape and evolve our data and AI product ecosystem ensuring the availability of high quality data and scalable AIML ready foundations. This role is pivotal in driving the modernization of our data platform and enabling intelligent data driven experiences across the distribution lifecycle. You will partner closely with Product Engineering, Data Science and Architecture to gain a deep understanding of our technology ecosystem and identify high impact opportunities where data analytics and AI can improve decision making and user outcomes.
A key focus in the near term will be supporting strategic re-platforming and modernization initiatives that enable a single source of truth for client and business data while laying the groundwork for AI driven insights, predictive capabilities and automation. You will challenge the organization to think boldly about how data and AI can create differentiated value while also delivering reliable, well governed data products that meet today’s business needs.
You define and execute a comprehensive data and AI product strategy synthesizing market trends, user needs and stakeholder input into a cohesive vision and execution plan. You translate strategy into a clear product roadmap prioritizing data and AI capabilities that deliver measurable impact for users and the business.
You have led the design and operationalization of solutions focused on data quality, metadata management, governance, lineage, taxonomy and AI readiness, feature stores, training data quality and model inputs. You manage the end to end product development lifecycle delivering data and AI enabled features iteratively to solve real business problems.
You partner closely with Data Science and Engineering teams to enable AIML use cases such as advanced analytics, personalization, predictive modeling and intelligent automation. You develop a deep understanding of upstream and downstream systems to shape data models, APIs and AI consumption patterns. You drive product discovery, requirements definition and feature prioritization using modern product and agile best practices informed by data and user insights.
- 5 years of Product Management experience with a proven track record of launching and scaling data platforms and/or AI enabled products.
- Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering or a related field; Master's degree preferred.
- Experience managing B2B or B2B2C data and AI products throughout the full product lifecycle, ideally within Financial Services, Asset Management or another highly regulated industry.
- Hands-on experience working with data platforms, analytics tools and AIML ecosystems (e.g., data warehouses/lakes, feature stores, model pipelines, MLOps concepts).
- Ability to perform and interpret data analysis and profiling using SQL, Python and data visualization tools to inform product decisions.
- Exceptional written and verbal communication skills with the ability to influence audiences ranging from senior leaders to engineers and data scientists.
- Ability to inspire and lead cross-functional teams including product managers, architects, engineers, data scientists and business partners.
- High curiosity and a desire to deeply understand and simplify complex data and AI domains.
Productmanager fulltime employer: Net2Source (N2S)
Contact Detail:
Net2Source (N2S) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Productmanager fulltime
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Prepare for interviews by researching the company and its products. Show us you know what we do and how you can contribute to our data and AI goals!
✨Tip Number 3
Practice your pitch! Be ready to explain how your experience aligns with the role of Data Product Manager. We want to hear how you can drive our data initiatives forward.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining us.
We think you need these skills to ace Productmanager fulltime
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Data Product Manager role. Highlight your experience with data platforms and AI products, and show us how your skills align with our needs.
Showcase Your Achievements: Don’t just list your responsibilities; we want to see your impact! Use metrics and examples to demonstrate how you've successfully launched and scaled data products in the past.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and make sure your points are easy to understand. This will help us see your communication skills in action!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you're keen on joining our team!
How to prepare for a job interview at Net2Source (N2S)
✨Know Your Data Inside Out
As a Data Product Manager, it's crucial to have a solid grasp of data platforms and AI ecosystems. Brush up on your knowledge of data warehouses, feature stores, and MLOps concepts. Be ready to discuss how you've used these tools in past projects and how they can be leveraged in the role.
✨Showcase Your Product Management Experience
Highlight your experience in launching and scaling data platforms or AI-enabled products. Prepare specific examples that demonstrate your ability to manage the full product lifecycle, especially in regulated industries like Financial Services. This will show that you understand the complexities involved.
✨Communicate with Confidence
Exceptional communication skills are key for this role. Practice articulating your thoughts clearly and concisely, especially when discussing technical concepts. Be prepared to explain how you've influenced stakeholders at various levels, from senior leaders to engineers.
✨Emphasise Collaboration and Leadership
This position requires working closely with cross-functional teams. Share examples of how you've successfully led teams in the past, particularly in challenging situations. Highlight your ability to inspire and motivate others, as well as your approach to fostering collaboration among diverse groups.