Full-Time

Director – Data & Analytics

Confirmed live in the last 24 hours

Five9

Five9

1,001-5,000 employees

Cloud-based contact center solutions provider

Data & Analytics
AI & Machine Learning

Senior, Expert

Remote in USA

Required Skills
Python
Data Structures & Algorithms
SQL
Java
REST APIs
Data Analysis
Google Cloud Platform
Requirements
  • 10+ years of experience of building and maintaining Big Data/ Data Warehouse solutions, BI applications, and data management processes
  • 5+ years of relevant experience architecting and delivering the complete end to end design of enterprise-wide solution using data technologies
  • 5 years of experience in SQL Python, Core Java, GCP Suite, Rest API, Microservices, etc.
  • 2 years of experience in AI & ML Methodologies
  • Experience with data modeling, complex data structures, data processing, data quality and data lifecycle
  • Advanced working SQL knowledge and experience working with relational databases
  • Experience building and optimizing 'big data' data pipelines, architectures, and data sets
  • Experience performing root cause analysis on internal and external data and processes
  • Experience in large scale server-side application development
  • Experience championing, educating, building adoption for an enterprise data program
  • Cultural awareness with excellent interpersonal and relationship building skills
  • Passion and drive for continuous improvement and transformational change
Responsibilities
  • Define, manage, and execute a comprehensive data program with a focus on measuring, improving, and reporting on the data quality and business value of those programs
  • Own the data infrastructure, analytical outputs, prioritization and roadmap initiatives
  • Own the data quality, understandability, and reporting of key data metrics from ingestion to modeling and reporting
  • Work with Enterprise Architecture to design data platform architecture and build solutions using standard pre-defined data technologies like GCP, Domo, etc.
  • Drive initiatives to ensure that data is managed consistently in line with business strategies and requirements
  • Devise, Lead and execute continual improvement initiatives in all Data Management Service delivery and technology
  • Define or influence system, technical and application architectures for major areas of development
  • Engage with business partners to report on technology strengths, weaknesses, successes, and challenges
  • Grow a team of data engineers, analytics engineers and data scientists

As a pioneer in cloud-based contact center solutions, this company provides a secure and scalable platform integrating digital engagement, analytics, workflow automation, and practical AI to enhance customer experiences. The emphasis on reliability, security, and compliance, coupled with a strong focus on employee development and empowerment, makes it an excellent workplace for those passionate about advancing customer service technologies and driving business results.

Company Stage

IPO

Total Funding

$874.1M

Headquarters

San Ramon, California

Founded

2001

Growth & Insights
Headcount

6 month growth

5%

1 year growth

12%

2 year growth

29%