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- 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: Permanent role with competitive salary and opportunities for professional growth.
- Other info: Work closely with cross-functional teams and drive impactful product strategies.
- Why this job: Shape the future of data and AI in a dynamic, collaborative 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 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 prioritising data and AI capabilities that deliver measurable impact for users and the business.
You have led the design and operationalisation 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, personalisation, predictive modelling 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 prioritisation 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 visualisation tools to inform product decisions.
- Strong ability to prioritise 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 employer: Net2Source (N2S)
Contact Detail:
Net2Source (N2S) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Manager
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by researching the company and its products. Show us you’re genuinely interested in what they do and how you can contribute to their 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. Highlight your successes in launching data platforms and AI products.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Product Manager
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the 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 make sure your points are easy to understand and directly related to the role.
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!
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 capabilities. Brush up on your knowledge of data quality, governance, and analytics tools. Be ready to discuss how you've previously managed data products and the impact they had on decision-making.
✨Showcase Your Strategic Thinking
Prepare to articulate your vision for data and AI product strategy. Think about market trends and user needs, and be ready to present a cohesive plan that aligns with the company's goals. Highlight any past experiences where you successfully translated strategy into actionable roadmaps.
✨Communicate Effectively
Exceptional communication skills are key in this role. Practice explaining complex data concepts in simple terms. Be prepared to discuss how you've influenced diverse audiences, from senior leaders to technical teams, and share examples of how you’ve fostered collaboration across functions.
✨Embrace Ambiguity and Adaptability
The ability to operate in uncertain environments is vital. Think of examples where you've adapted your product strategy based on evolving business needs or AI capabilities. Show that you're comfortable with change and can pivot when necessary to drive product success.