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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: Enjoy competitive salary, career growth, and a dynamic work environment.
- Other info: Collaborate with cross-functional teams in a supportive and innovative culture.
- Why this job: Shape the future of data and AI while making a real impact.
- Qualifications: 5 years in Product Management with a focus on data platforms 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.
Manager - Product Manager employer: Net2Source (N2S)
Contact Detail:
Net2Source (N2S) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Manager - Product Manager
✨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 a CV just can't.
✨Tip Number 2
Prepare for interviews by researching the company and its products. Show them you know their stuff and how you can add value, especially in data and AI!
✨Tip Number 3
Practice your pitch! Be ready to explain how your experience aligns with their needs, particularly around product management and data platforms.
✨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, we love seeing candidates who are proactive!
We think you need these skills to ace Manager - Product Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Product Manager role. Highlight your experience with data platforms and AI products, and don’t forget to showcase any relevant achievements that align with the job description.
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 Communication Skills: Since this role involves influencing various stakeholders, make sure your written application reflects your exceptional communication skills. Use clear and concise language to convey your ideas effectively.
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 don’t miss out on any important updates from us!
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 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 previous experiences where you successfully defined and executed a product roadmap.
✨Communicate Like a Pro
Exceptional communication skills are key in this role. Practice explaining complex data concepts in simple terms. Be prepared to influence various stakeholders, from senior leaders to engineers. Use examples from your experience to demonstrate how you've effectively communicated in cross-functional teams.
✨Demonstrate Your Curiosity
Show your passion for data and AI by discussing recent trends or innovations in the field. Prepare questions that reflect your curiosity and desire to understand the company's data challenges. This will not only show your interest but also your proactive approach to problem-solving.