Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements.

We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together.

Summary

The Data & Analytics team is a central team comprised of Data Engineering, Data Platform/Technologies, Data Analytics, Data Science, Data Product, and Data Governance practices. This mighty team serves the enterprise that includes sales, finance, marketing, customer success, product and more. The team serves as a core conduit and partner to operational systems that run the business including Salesforce, Workday and more.

The Product Owner – Analytical Data is a key member of the Enterprise Data & Analytics organization that drives a product mindset and delivers enterprise data to support reporting, analytics, science and AI enablement. They will lead the development, management, and optimization of enterprise data products. This individual will play a pivotal role in driving data-driven decision-making across the organization by ensuring the delivery of robust, scalable, and actionable data solutions. The ideal candidate has a strong analytical mindset, excellent leadership skills, and a proven track record in building and managing data products that empower business outcomes.

Key Responsibilities:

Data Product Ownership:

• Own and manage the lifecycle of analytical data products, from ideation to delivery and ongoing maintenance.
• Define the product vision, roadmap, and backlog to align with business objectives and enterprise data strategy.
• Ensure the delivery of high-quality, scalable, and reliable data solutions that meet stakeholder needs.

Stakeholder Collaboration:

• Partner with business leaders, data scientists, analysts, and engineering teams to understand requirements and translate them into actionable data product features.
• Act as a bridge between technical teams and business units to ensure alignment and clear communication.
• Prioritize features and enhancements based on business impact, technical feasibility, and strategic goals.

Strategic Data Leadership:

• Drive enterprise-wide data initiatives to promote data accessibility, quality, and governance.
• Identify opportunities for leveraging data to drive insights, operational efficiency, and competitive advantage.
• Advocate for data-driven decision-making across the organization.

Performance Measurement:

• Define and monitor key performance indicators (KPIs) for data products to measure their success and value to the organization.
• Continuously optimize data products based on feedback, usage patterns, and evolving business needs.

Agile Product Management:

• Lead agile ceremonies such as sprint planning, backlog grooming, and retrospectives for data product development teams.
• Ensure timely delivery of data product features and enhancements in alignment with the agile framework.

Compliance and Governance:

• Ensure data products adhere to enterprise data governance standards, privacy regulations, and security policies.
• Collaborate with compliance and IT security teams to mitigate risks and address data-related concerns.

Requirements

• 6-10 years of experience in data product management, data analytics, or a related role.
• Proven track record of delivering enterprise data solutions that drive business value.
• Strong experience with data visualization tools, data lakes, data warehouses, and cloud platforms (e.g., AWS, Azure, GCP, Snowflake, etc.).
• Strong business acumen, relationship building, and superlative communication skills
• Expertise in data modeling, analytics, and visualization.
• Excellent communication, presentation, and stakeholder management skills.
• Ability to balance strategic vision with tactical execution.
• Strong analytical mindset with attention to detail.
• Ability to work in a dynamic, challenging environment where decisions you make will have a large impact
• Get-it-done mindset. You’re not afraid to take risks, you’re humble and scrappy!
• Experience working within an agile scrum framework

Preferred Qualifications

• Experience in the technology sectors including business to business.
• Bachelor’s / Master’s degree in computer science, data science, etc.
• Creative, innovative and solution design thinking: You evaluate things holistically and think through the objectives, impacts, best practices, and what will be simple and scalable
• Excellent critical thinking, problem solving and analytical skills with a keen attention to detail.
• Skilled at running cross-functional relationships and communicating with leadership across multiple organizations
• Strong team player: ability to lead peers in accomplishment of common goals.

#LI-Remote

Compensation:

This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location. This role might also be eligible for a commission or performance-based bonus opportunities.

Benefits:

• Medical, Dental, and Vision Insurance.

• Telehealth coverage

• Flexible work schedules and work from home opportunities

• Development and career growth opportunities

• Open Time Off in addition to 10 paid holidays

• 401(k) matching program

• Adoption Assistance

• Fertility treatments

More details about our company benefits can be found at the following link: https://mygenesysbenefits.com

If a Genesys employee referred you, please use the link they sent you to apply.

About Genesys:

Genesys empowers more than 8,000 organizations in over 100 countries to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, Genesys delivers the future of CX to organizations of all sizes so they can provide empathetic, personalized experience at scale. As the trusted platform that is born in the cloud, Genesys Cloud helps organizations accelerate growth by enabling them to differentiate with the right customer experience at the right time, while driving stronger workforce engagement, efficiency and operational improvements. Visit www.genesys.com.

Reasonable Accommodations:

If you require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you or someone you know may reach out to HR@genesys.com. You can expect a response from someone within 24-48 hours. To ensure we set you up with the best reasonable accommodation, please provide them the following information: first and last name, country of residence, the job ID(s) or (titles) of the positions you would like to apply, and the specific reasonable accommodation(s) or modification(s) you are requesting.

This email is designed to assist job seekers who seek reasonable accommodation for the application process. Messages sent for non-accommodation-related issues, such as following up on an application or submitting a resume, may not receive a response.

Genesys is an equal opportunity employer committed to equity in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.

Please note that recruiters will never ask for sensitive personal or financial information during the application phase.