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FICO

Product Management – Backend Analytic Pipelines

Posted 24 Days Ago
Be an Early Applicant
Remote
28 Locations
Junior
Remote
28 Locations
Junior
The Product Manager will lead the development of backend services for analytics applications by defining the product strategy, designing data pipelines, ensuring scalability and compliance, collaborating with stakeholders, and monitoring service performance. They will also prioritize features and maintain documentation while keeping abreast of market trends.
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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 fulfill 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". - Hiring Manager.

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 recognized for doing so.

  • An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie.

#LI-DL1 #LI-Remote

Why Make a Move to FICO?

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 makes a real difference in the way businesses operate worldwide:

•    Credit Scoring — FICO® Scores are used by 90 of the top 100 US lenders.

•    Fraud Detection and Security — 4 billion payment cards globally are protected by FICO fraud systems.

•    Lending — 3/4 of US mortgages are approved using the FICO Score.

Global trends toward digital transformation have created tremendous demand for FICO’s solutions, placing us among the world’s top 100 software companies by revenue. We help many of the world’s largest banks, insurers, retailers, telecommunications providers and other firms reach a new level of success. Our success is dependent on really talented people – just like you – who thrive on the collaboration and innovation that’s nurtured by a diverse and inclusive environment. We’ll provide the support you need, while ensuring you have the freedom to develop your skills and grow your career.  Join FICO and help change the way business thinks!

Learn more about how you can fulfil your potential at www.fico.com/Careers

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, color, ancestry, religion, sex, national origin, pregnancy, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Research has shown that women and candidates from underrepresented communities may not apply for an opportunity if they don’t meet all stated qualifications. While our qualifications are clearly related to role success, each candidate’s profile is unique and strengths in certain skill and/or experience areas can be equally effective. If you believe you have many, but not necessarily all, of the stated qualifications we encourage you to apply.

Information submitted with your application is subject to the FICO Privacy policy at https://www.fico.com/en/privacy-policy

Top Skills

Airflow
Apache Kafka
AWS
Azure
BigQuery
Data Pipelines
Elt
ETL
GCP
Redshift
Snowflake
Spark

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