IT Manager - Data Engineering

Overview

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.

Job Summary

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 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.

IT Manager Data Analytics, plays a pivotal role within the Enterprise Data & Analytics organization at Genesys. This role is responsible for leading a team of analysts and driving delivery of impactful analytics solutions that support enterprise functions including sales, finance, marketing, customer success, and product teams and will oversee day-to-day analytics operations, coach and mentor a team of analysts, and collaborate closely with stakeholders to ensure alignment of analytics deliverables with business goals. The ideal candidate brings hands-on analytics expertise, a passion for data storytelling, and a track record of managing successful analytics teams.

Job Responsibilities

• Lead and mentor a team of analytics professionals, fostering a collaborative and high-performing culture.
• Promote & drive best practices in analytics, data visualization, automation, governance, and documentation.
• Translate business needs into actionable data insights through dashboards, visualizations, and storytelling.
• Partner with enterprise functions to understand goals, define key metrics, and deliver analytics solutions that inform decision-making.
• Manage and prioritize the team’s project backlog, ensuring timely and quality delivery of analytics products.
• Collaborate with data engineering and platform teams to ensure scalable and reliable data pipelines and sources.
• Contribute to the development and maintenance of a shared analytics framework and reusable assets.
• Advocate for self-service analytics and data literacy across the business.
• Ensure compliance with data privacy, governance, and security policies.
  
  

• 8+ years relevant experience with Bachelor's / Master's degree in a natural science (computer science, data science, math, statistics, physics. etc.)
• Proven ability to lead and inspire analytics teams, delivering results in a fast-paced, cross-functional environment.
• Strong proficiency in BI and visualization tools (e.g., Looker, Tableau, QuickSight, Power BI).
• Solid understanding of cloud data platforms and big data ecosystems (e.g., AWS, Snowflake, Databricks).
• Strong business acumen and the ability to communicate technical concepts clearly to non-technical stakeholders.
• Experience building and managing stakeholder relationships across multiple departments.
• Adept at SQL and data modeling principles
• Experience with statistical scripting languages (Python preferred)
• Familiarity with Agile methodologies and project management tools (e.g., Jira, Confluence).
• Demonstrates a results-oriented mindset, take thoughtful risks, and approach challenges with humility and a hands-on, resourceful attitude
  
  

• 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.
  
  

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

About Genesys:

Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud™ is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit www.genesys.com.

Reasonable Accommodations:

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Genesys is an equal opportunity employer committed to fairness 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.

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