Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the development of impactful data products that drive business decisions.
- Company: SharkNinja creates innovative lifestyle solutions that enhance homes worldwide.
- Benefits: Enjoy competitive health insurance, retirement plans, and employee discounts.
- Why this job: Join a culture that pushes boundaries and values diversity and inclusion.
- Qualifications: 5+ years in product management with a focus on data solutions required.
- Other info: Be part of a community that supports personal and professional growth.
The predicted salary is between 43200 - 72000 £ per year.
SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people’s lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja , the company has a proven track record of bringing disruptive innovation to market, and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 3,600+ associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world .
Senior Data Product Manager
Position Summary
The Senior Data Product Manager is a strategic, hands-on role responsible for leading the development and lifecycle of high-impact data products that power business-critical decisions. Reporting to the Director, Data Product Management leader, this role owns product strategy, cross-functional execution, and adoption initiatives for scalable, value-generating data solutions. The ideal candidate blends product management rigor with data fluency and stakeholder savvy, serving as a connective tissue between business goals and technical delivery.
Key Responsibilities
Area
What You’ll Own
Define and drive the strategic vision for a portfolio of complex data products. Translate business goals into scalable product roadmaps and measurable value creation.
Manage the full lifecycle of multiple data products, from discovery and scoping to development and iteration. Align priorities across competing demands and evolving business needs.
Cross-Functional Leadership
Lead squads of engineers, analysts, and stakeholders to build and launch data products. Act as the central point of accountability for cross-team execution.
Stakeholder Engagement
Build strong relationships with executive sponsors, domain experts, and end users. Synthesize feedback, gain alignment, and communicate product direction clearly.
Technical Fluency
Understand and influence architecture decisions, data modeling approaches, and tooling trade-offs. Collaborate with engineering to ensure scalable, future-proof solutions.
Coach junior product managers and elevate product thinking across the team. Act as a thought leader on data product best practices and impact measurement.
Impact Measurement
Define KPIs, track performance, and tell the story of business impact through usage, adoption, and tangible outcomes.
Required Qualifications
- 5+ years in product management, with 3+ focused on data or analytics solutions.
- Proven success launching and scaling data products with measurable business value.
- Expertise in product development lifecycles, agile methodologies, and stakeholder engagement.
- Strong understanding of data architectures, warehouses, and analytics platforms (e.g., Snowflake, BI tools).
- Ability to lead through influence across engineering, analytics, and business teams.
- Excellent written and verbal communication skills for technical and executive audiences.
Preferred Qualifications
- Bachelor’s or advanced degree in Business, Computer Science, or related field.
- Experience with modern data stacks (e.g., dbt, Fivetran, Looker, Power BI).
- Knowledge of data governance, quality frameworks, and compliance requirements.
- Familiarity with data mesh, domain-driven design, or federated data product models.
- Exposure to AI/ML use cases and responsible AI principles.
- Demonstrated success mentoring other product managers or leading small product teams.
Our Culture
At SharkNinja, we don’t just raise the bar—we push past it every single day. Our Outrageously Extraordinary mindset drives us to tackle the impossible, push boundaries, and deliver results that others only dream of. If you thrive on breaking out of your swim lane, you’ll be right at home.
What We Offer
We offer competitive health insurance, retirement plans, paid time off, employee stock purchase options, wellness programs, SharkNinja product discounts, and more. We empower your personal and professional growth with high impact Learning Programs featuring bold voices redefining what’s possible. When you join, you’re not just part of a company—you’re part of an outrageously extraordinary community. To gether, we won’t just launch products— we’ll disrupt entire markets.
At SharkNinja, Diversity, Equity, and Inclusion are vital to our global success. Valuing each unique voice and blending all of our diverse skills strengthens SharkNinja’s innovation every day. We support ALL associates in bringing their authentic selves to work, making an impact, and having the opportunity for career acceleration. With help from our leadership, associates, and our community, we aim to have equity be a key component of the SharkNinja DNA.
We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, disability, or any other class protected by legislation, and local law. SharkNinja will consider reasonable accommodations consistent with legislation, and local law. If you require a reasonable accommodation to participate in the job application or interview process, please contact SharkNinja People & Culture
Create a Job Alert
Interested in building your career at SharkNinja? Get future opportunities sent straight to your email.
Apply for this job
*
indicates a required field
First Name *
Last Name *
Email *
Phone
Resume/CV
Enter manually
Accepted file types: pdf, doc, docx, txt, rtf
Enter manually
Accepted file types: pdf, doc, docx, txt, rtf
LinkedIn Profile
Website
Please attach your portfolio or link your website (if applicable).
Accepted file types: pdf, doc, docx, txt, rtf
Will you now or in the future require sponsorship for employment visa status for the country in which this role is based? (i.e. Skilled Worker Visa) * Select…
Are you comfortable to be in the office specified on the job description, 3 days a week? * Select…
What is your current company? *
What is your current notice period? *
Are you subject to any noncompete nondisclosure/confidentiality agreement? * Select…
I would like to receive updates from a recruiter about this job via SMS. * Select…
How did you hear about us? * Select…
You can choose to receive recruitment marketing communications from us, including updates on job opportunities, career advice, and recruitment events. Select yes if you wish to receive email communications from our recruitment team. You can update your preferences or withdraw consent at any time. To learn more about how we handle your personal data including your rights, and how to opt out of marketing please visit ou * Select…
#J-18808-Ljbffr
Senior Data Product Manager employer: Ninjakitchen
Contact Detail:
Ninjakitchen Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Product Manager
✨Tip Number 1
Familiarise yourself with SharkNinja's product portfolio and their approach to data products. Understanding their existing solutions will help you articulate how your experience aligns with their needs during discussions.
✨Tip Number 2
Network with current or former employees on platforms like LinkedIn. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss specific examples of how you've successfully launched data products in the past. Be ready to highlight measurable outcomes and how they contributed to business goals, as this is crucial for the role.
✨Tip Number 4
Stay updated on the latest trends in data management and analytics tools, especially those mentioned in the job description. Demonstrating your knowledge of modern data stacks and methodologies will set you apart from other candidates.
We think you need these skills to ace Senior Data Product Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in product management, particularly with data or analytics solutions. Use specific examples of how you've successfully launched and scaled data products.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data products and innovation. Clearly articulate how your skills align with SharkNinja's mission and the specific requirements of the Senior Data Product Manager role.
Showcase Technical Fluency: Demonstrate your understanding of data architectures and analytics platforms in your application. Mention any relevant tools or methodologies you have experience with, such as Snowflake or agile practices.
Highlight Leadership Experience: Emphasise any experience you have in leading cross-functional teams or mentoring junior product managers. This will show that you can effectively manage the collaborative aspects of the role.
How to prepare for a job interview at Ninjakitchen
✨Understand the Company Culture
Before your interview, take some time to research SharkNinja's culture and values. They emphasise an 'Outrageously Extraordinary' mindset, so be prepared to discuss how you embody this in your work and how you can contribute to their innovative environment.
✨Showcase Your Data Product Experience
As a Senior Data Product Manager, you'll need to demonstrate your experience with data products. Be ready to share specific examples of data products you've launched, focusing on the measurable business value they created and how you managed their lifecycle.
✨Prepare for Cross-Functional Collaboration Questions
Given the role's emphasis on cross-functional leadership, expect questions about how you've worked with engineers, analysts, and stakeholders in the past. Prepare anecdotes that highlight your ability to lead teams and align diverse priorities towards a common goal.
✨Discuss Your Technical Fluency
The role requires a strong understanding of data architectures and analytics platforms. Be prepared to discuss your technical knowledge, including any experience with tools like Snowflake or BI platforms, and how you've influenced architectural decisions in previous roles.
