At a Glance
- Tasks: Lead product vision for data platforms and drive impactful technology initiatives.
- Company: Join a mission-driven publisher empowering researchers and educators.
- Benefits: Enjoy 25 days leave, hybrid work, private medical cover, and professional development support.
- Other info: Dynamic environment with opportunities for mentorship and career growth.
- Why this job: Shape the future of business intelligence while collaborating with diverse teams.
- Qualifications: Proven experience in product leadership and data solutions.
The predicted salary is between 56700 - 69300 £ per year.
Описание
Join us and be part of a mission-driven, independent publisher.
You'll work with a diverse group of people who share a passion for empowering researchers, educators, and institutions to shape the future.
Задачи
Define and convey a clear product vision and strategy for data platforms, analytics, reporting, and business intelligence products, ensuring alignment with Sage's objectives.
Develop and continuously evolve product roadmaps, balancing business priorities, technical dependencies, risks, and opportunities to improve value delivery.
Lead enterprise-scale data and technology initiatives, driving successful outcomes across multiple delivery teams and collaborator groups.
Partner closely with engineering, quality assurance, delivery, architecture, and business teams to ensure solutions meet user needs and strategic goals.
Build positive relationships with senior leaders and collaborators, providing clear communication, managing expectations, and influencing decision-making through data and insight.
Establish and monitor product success measures, including benchmarks and objectives and key results, using data-driven insights to inform priorities and investment decisions.
Champion Agile ways of working that encourage collaboration, adaptability, continuous improvement, and high-performing cross-functional teams.
Build compelling arguments and investment recommendations, demonstrating value, return on investment, and impact while proactively managing risks and dependencies.
Требования
An experienced product leader with a track record of partnering with software engineering teams to deliver technology, data, or analytics solutions that achieve measurable business outcomes.
Skilled at creating and executing product strategies and roadmaps, with experience balancing competing priorities while delivering long-term value.
Experienced in owning or leading the development of data products, including data platforms, data warehouses or lakehouses, data pipelines, analytics, and business intelligence solutions.
Confident leading large-scale data or technology transformation initiatives, such as platform modernisation, data migration, or enterprise replatforming programmes.
A strong communicator who can translate complex technical concepts into clear, meaningful messages for different audiences, from technical specialists to senior business leaders.
Effective at building relationships and influencing stakeholders at all levels, creating alignment across teams with diverse priorities and perspectives.
Commercially minded, with experience using financial data, investment planning, resourcing decisions, and ROI analysis to support strategic product decisions.
Passionate about developing others, sharing knowledge, mentoring peers, and contributing to a collaborative, inclusive, and continuously improving product management community.
Условия
- 25 days annual leave (plus bank holidays) with 2 additional floating personal days.
- Hybrid working up to 2 days per week in office and a home working allowance.
- Life assurance, income protection, and travel insurance.
- Private medical cover and access to the company doctor.
- Tuition scheme and support for pursuing professional qualifications, including access to Sage books and journals.
- Variety of snacks and beverages available in the office.
- Healthy lifestyle reimbursement and anniversary trips.
- Access to Company loans (season ticket loan, rental deposit loan, cycle loan).
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Technology product manager for business intelligence employer: Sage
Sage is an exceptional employer located in Newcastle, offering a dynamic work culture that fosters collaboration and innovation. As a Digital Content Designer, you'll benefit from a hybrid working model, allowing for flexibility while engaging with talented teams across Product, UX, and Engineering. With a strong focus on employee growth and development, Sage provides ample opportunities to enhance your skills and make a meaningful impact on customer experiences through cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land Technology product manager for business intelligence
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Sage!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Technology product manager for business intelligence
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Sage, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Sage
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Sage’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
