At a Glance
- Tasks: Lead the development of innovative data and AI products to enhance decision-making.
- Company: Join a fast-growing, diversity-certified global workforce solutions company.
- Benefits: Competitive salary, flexible work arrangements, and opportunities for professional growth.
- Other info: Collaborative culture with excellent career advancement opportunities.
- Why this job: Shape the future of data and AI while making a real impact in a dynamic environment.
- Qualifications: 5 years of product management experience and strong analytical skills required.
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.
About the Role: 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.
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 establish strong partnerships with business and technology stakeholders creating continuous feedback loops to refine product value and adoption. You develop a deep understanding of upstream and downstream systems to shape data models, APIs and AI consumption patterns.
You ensure thoughtful product evolution addressing product lifecycle management, adoption and migration experiences and clear enablement for users. You drive product discovery, requirements definition and feature prioritization using modern product and agile best practices informed by data and user insights.
What We're Looking For:
- 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.
- Strong ability to prioritize and communicate product roadmaps across diverse business functions and geographies.
- Comfort operating in ambiguity with the ability to adapt product strategy as AI capabilities, business needs and partner priorities evolve.
- 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.
- Proficiency in applying both qualitative and quantitative methods to define, measure and continuously improve product success.
- Entrepreneurial mindset with a bias for action, comfortable rolling up your sleeves and turning incomplete or conflicting inputs into clear execution plans.
- A high bar for product excellence.
Product Manager in Reading employer: Net2Source (N2S)
Net2Source Inc. is an exceptional employer that champions diversity and innovation, offering a dynamic work environment in Paddington for the role of Data Product Manager. With a strong focus on employee growth, we provide opportunities to engage with cutting-edge data and AI technologies while collaborating with talented teams across the globe. Our culture fosters creativity and bold thinking, ensuring that every team member can contribute to impactful projects that drive business success and personal development.
StudySmarter Expert Advice🤫
We think this is how you could land Product Manager in Reading
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. We can’t stress enough how important it is to make connections that could lead to job opportunities.
✨Tip Number 2
Prepare for interviews by researching the company and its products. We recommend practising common interview questions and having your own questions ready to show your interest and knowledge.
✨Tip Number 3
Showcase your skills with a portfolio or case studies. If you’ve worked on relevant projects, we suggest putting together a presentation that highlights your achievements and how they relate to the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Product Manager in Reading
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Product Manager role. Highlight your experience with data platforms and AI products, and don’t forget to showcase any relevant achievements that align with our needs at StudySmarter.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data and AI, and how your background makes you the perfect fit for our team. Keep it engaging and personal!
Showcase Your Skills:In your application, be sure to highlight your technical skills, especially in SQL, Python, and data visualisation tools. We want to see how you can leverage these skills to drive product success at StudySmarter.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get the best experience possible while joining our awesome team!
How to prepare for a job interview at Net2Source (N2S)
✨Know Your Data Inside Out
As a Data Product Manager, you need to be well-versed in data platforms and AI capabilities. Brush up on your knowledge of data warehouses, analytics tools, and AIML ecosystems. Be ready to discuss how you've used these technologies in past projects.
✨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.
✨Communicate Clearly and Confidently
Exceptional communication skills are crucial for this role. Practice articulating your thoughts clearly, whether you're discussing product roadmaps or technical details. Tailor your language to suit different audiences, from senior leaders to engineers.
✨Embrace Ambiguity and Adaptability
The ability to operate in ambiguity is key. Be prepared to discuss how you've adapted product strategies in response to evolving business needs or AI capabilities. Show that you can think boldly and creatively about data and AI solutions.
