At a Glance
- Tasks: Lead the development of data products to enhance customer experiences and optimise marketing.
- Company: Join Sainsbury's, a leader in retail innovation and data-driven solutions.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact on millions of customers while driving data innovation.
- Qualifications: Strong leadership, agile delivery experience, and a passion for data.
- Other info: Collaborative environment with a focus on community building and career advancement.
The predicted salary is between 60000 - 80000 £ per year.
Work Location: London, The JJ Mack Building, 33 Charterhouse St, EC1M 6HA
Role type: Permanent/Fixed Term/Contracting
Mode of working: Hybrid / office based (Minimum 2 days in office)
Number of positions: 1
Unit: IS-CBG-Retail-UK-Benelux-France-1.1
Duration of assignment: 6 months
Any other working conditions: None at the moment
The Role: Candidate will lead the development of core data products that enhance customer understanding, improve customer experiences, optimise marketing effectiveness, and support data monetisation. Working within Sainsbury's evolving data and personalisation landscape, the role drives high-quality data solutions that benefit colleagues and millions of customers across the UK.
Key Responsibilities:
- You will be looking after Product Management for BI in Commercial. The main things they’ll be focusing on over the next few months are:
- Creating the plan to migrate from MicroStrategy to Power BI, similar to what we did in the EDW programme.
- Designing the features and landing page for the new BI portal.
- Keeping on top of the small amount of in-flight work and making sure any changes are communicated.
- Capturing new demand for future build, completing discovery and processing this demand through our quarterly demand process. I expect this would be minimal as new demand is mostly on hold until critical parts of the BI Hub proposals are complete.
Your Profile:
Essential skills/knowledge/experience:
- People & Leadership: Strong leader with excellent interpersonal skills, able to inspire teams and create alignment across diverse stakeholders.
- Product Expertise: Experienced in agile delivery, product strategy, engineering practices and outcome-driven product management.
- Communication: Clear, compelling communicator able to generate alignment and energy, even in challenging decision scenarios.
- Data Savvy: Solid understanding of customer data, AI/ML capabilities and data platforms; technically curious with awareness of emerging trends.
- Proactive & Pragmatic: Self-starter with strong judgement, able to deliver clarity in ambiguity, make quick decisions and hold teams accountable.
- Community Builder: Passionate about contributing to and growing the internal product community.
Desirable skills/knowledge/experience:
- Knowledge of data platforms (e.g. Snowflake, Azure Data Lake).
- Understanding of monitoring, model performance tracking, and observability best practices.
Sr Product Manager employer: Infoplus Technologies UK Ltd
Contact Detail:
Infoplus Technologies UK Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr Product Manager
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to product management. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your passion for data and product management during interviews. Share specific examples of how you've led projects or improved processes, and don’t forget to highlight your understanding of emerging trends in the field.
✨Tip Number 4
Apply through our website for the best chance at landing that Sr Product Manager role. We love seeing candidates who are genuinely interested in joining our team and contributing to our mission!
We think you need these skills to ace Sr Product Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Sr Product Manager role. Highlight your experience in product management, especially with BI tools like Power BI. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about this role and how your leadership skills can inspire teams. Keep it engaging and relevant to the job description.
Showcase Your Data Savvy: Since this role involves working with customer data and AI/ML capabilities, make sure to highlight any relevant experience you have. We love seeing candidates who are technically curious and aware of emerging trends!
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’s super easy!
How to prepare for a job interview at Infoplus Technologies UK Ltd
✨Know Your Product Inside Out
Make sure you have a solid understanding of the core data products you'll be working with. Familiarise yourself with the migration from MicroStrategy to Power BI and be ready to discuss how you would approach this transition. This shows your technical curiosity and readiness to tackle challenges.
✨Showcase Your Leadership Skills
Prepare examples that highlight your leadership experience, especially in inspiring teams and aligning diverse stakeholders. Think about times when you've successfully led a project or initiative, and be ready to share these stories during the interview.
✨Communicate Clearly and Confidently
Practice articulating your thoughts clearly and compellingly. You might face challenging decision scenarios, so being able to generate alignment and energy is crucial. Consider doing mock interviews with friends or colleagues to refine your communication style.
✨Demonstrate Your Data Savviness
Brush up on your knowledge of customer data, AI/ML capabilities, and data platforms like Snowflake and Azure Data Lake. Be prepared to discuss emerging trends in the data landscape and how they could impact the role. This will show that you're proactive and engaged with the industry.