At a Glance
- Tasks: Lead the development of backend services for analytics applications and collaborate with cross-functional teams.
- Company: FICO is a global leader in analytics software, helping businesses make better decisions worldwide.
- Benefits: Enjoy competitive pay, remote work options, and a people-first culture with great perks.
- Why this job: Make a real impact in Big Data analytics while developing your skills in a diverse environment.
- Qualifications: Bachelor’s degree or equivalent experience in Computer Science or Data Science; product management experience required.
- Other info: Join a company that values inclusion and offers growth opportunities for all candidates.
The predicted salary is between 36000 - 60000 £ per year.
FICO (NYSE: FICO) is a leading global analytics software company, helping businesses in 100+ countries make better decisions. Join our world-class team today and fulfil your career potential!
The Opportunity: We are seeking a strategic and technically adept Product Manager to lead the development of our Platform backend services for analytics-heavy business user applications. You will collaborate closely with engineering, data science, and business teams to build the data and services infrastructure that meets the demands of highly scalable modern analytics and business intelligence applications.
What You'll Contribute
- Product Strategy: Define the vision, strategy, and roadmap for backend services that power business user facing applications, aligning with business goals and customer needs.
- Data Pipeline Development: Partner with engineering teams to design, build, and maintain data pipelines that process and transform large volumes of structured and unstructured data.
- Scalability & Performance: Ensure pipelines are optimized for scalability, low latency, and high availability to support business-critical analytics.
- Stakeholder Collaboration: Work with data scientists, analysts, and product teams to identify data needs and deliver solutions that enable actionable insights.
- Feature Prioritization: Prioritize features and enhancements based on business impact, technical feasibility, and resource availability.
- Compliance & Security: Ensure pipelines comply with data privacy regulations and adhere to security best practices.
- Monitoring & Metrics: Define KPIs to measure service performance, reliability, and effectiveness, and oversee monitoring processes for early issue detection.
- Documentation: Maintain clear documentation of service processes, schemas, and data flows to support transparency and knowledge sharing.
- Market Awareness: Stay informed about trends in data engineering, analytics, and tools (e.g., ETL frameworks, cloud services) to drive innovation.
What We're Seeking
- Bachelor’s degree in Computer Science, Data Science, or related field or equivalent work experience.
- Significant experience in product management with a focus on backend systems, data pipelines, or analytics platforms.
- Proven track record of delivering complex technical products or systems.
- Proven experience with a combination of data-related technologies including predictive analytics, decision intelligence or optimization.
- Understanding of data engineering principles, ETL/ELT processes, and technologies like Apache Kafka, Spark, or Airflow.
- Familiarity with data storage systems (e.g., Snowflake, BigQuery, Redshift) and cloud platforms (e.g., AWS, Azure, GCP).
- Comfort building software that processes billions of transactions or data elements.
- Strong problem-solving skills and the ability to translate business requirements into technical solutions.
- Excellent organizational and communication skills to manage cross-functional teams and influence stakeholders.
- Experience working in Agile environments and managing backlogs and sprints.
Our Offer to You
- An inclusive culture strongly reflecting our core values: Act Like an Owner, Delight Our Customers and Earn the Respect of Others.
- The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences.
- Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognised for doing so.
- An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie.
At FICO, you can develop your career with a leading organization in one of the fastest-growing fields in technology today – Big Data analytics. You’ll play a part in our commitment to help businesses use data to improve every choice they make, using advances in artificial intelligence, machine learning, optimization, and much more.
FICO promotes a culture of inclusion and seeks to attract a diverse set of candidates for each job opportunity. We are an equal employment opportunity employer and we’re proud to offer employment and advancement opportunities to all candidates without regard to race, colour, ancestry, religion, sex, national origin, pregnancy, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Product Management – Backend Analytic Pipelines employer: FICO
Contact Detail:
FICO Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Management – Backend Analytic Pipelines
✨Tip Number 1
Familiarise yourself with the latest trends in data engineering and analytics. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews, showcasing your passion and knowledge about the industry.
✨Tip Number 2
Network with professionals in the field of product management and data analytics. Attend relevant webinars, workshops, or meetups to connect with others who work in similar roles. This can lead to valuable insights and potentially even referrals for the position.
✨Tip Number 3
Prepare to discuss specific examples of how you've successfully managed backend systems or data pipelines in previous roles. Highlight your problem-solving skills and ability to translate business needs into technical solutions, as these are crucial for the position.
✨Tip Number 4
Research FICO's products and services thoroughly. Understanding their offerings and how they leverage data analytics will enable you to tailor your discussions and demonstrate your genuine interest in contributing to their mission.
We think you need these skills to ace Product Management – Backend Analytic Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in product management, particularly with backend systems and data pipelines. Use specific examples that demonstrate your ability to deliver complex technical products.
Craft a Compelling Cover Letter: In your cover letter, express your passion for analytics and how your background aligns with the role. Mention your familiarity with data engineering principles and any relevant technologies like Apache Kafka or Spark.
Showcase Problem-Solving Skills: Provide examples in your application that illustrate your strong problem-solving skills. Discuss how you've translated business requirements into technical solutions in previous roles.
Highlight Collaboration Experience: Emphasise your experience working in cross-functional teams. Detail how you've collaborated with engineering, data science, and business teams to achieve project goals, as this is crucial for the role.
How to prepare for a job interview at FICO
✨Understand the Product Management Landscape
Familiarise yourself with the key responsibilities of a Product Manager, especially in backend services and analytics. Be prepared to discuss how you would define product strategy and align it with business goals.
✨Showcase Your Technical Knowledge
Highlight your experience with data pipelines, ETL processes, and relevant technologies like Apache Kafka or Spark. Be ready to explain how you've used these tools in past projects to solve complex problems.
✨Demonstrate Stakeholder Collaboration Skills
Prepare examples of how you've worked with cross-functional teams, including engineering and data science. Emphasise your communication skills and ability to influence stakeholders to achieve project goals.
✨Stay Current with Industry Trends
Research the latest trends in data engineering and analytics. Be ready to discuss how these trends could impact the role and how you can leverage them to drive innovation within the company.