Director – Data & Analytics
Posted on 4/2/2024
Five9

1,001-5,000 employees

Cloud based call and contact center software
Company Overview
Five9's mission is to empower organizations to transform their contact centers into customer engagement centers of excellence. The company provides software for managing omnichannel customer interactions including voice, SMS, chat, email, social, video, and more.
Data & Analytics
AI & Machine Learning

Company Stage

Series D

Total Funding

$126.6M

Founded

2001

Headquarters

San Ramon, California

Growth & Insights
Headcount

6 month growth

5%

1 year growth

14%

2 year growth

26%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Data Structures & Algorithms
SQL
Java
REST APIs
Data Analysis
Google Cloud Platform
CategoriesNew
Data Engineering
Data Management
Data Science
Data & Analytics
Requirements
  • 10+ years of experience of building and maintaining Big Data/ Data Warehouse solutions, BI applications, and data management processes including Data quality and governance.
  • 5+ years of relevant experience architecting and delivering the complete end to end design of enterprise-wide solution using data technologies GCP Suite, Databricks, Domo, Python, Core Java and similar.
  • 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, query authoring (SQL) as well as working familiarity with a variety of 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 to provide solutions for specific business requirements.
  • Should be able to lead critical aspects of the data management and application management.
  • Experience in large scale server-side application development that includes the design and implementation of high-volume data processing jobs.
  • Experience championing, educating, building adoption for an enterprise data program; exceptional communication skills; ability to translate business problems into data opportunities that inspire the business.
  • Cultural awareness with excellent interpersonal and relationship building skills.
  • Passion and drive for continuous improvement and transformational change, with a business owner mentality.
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. Partner with business leaders to determine and prioritize delivery 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. Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Drive initiatives to ensure that data is managed consistently in line with business strategies and requirements. Will be responsible for design and delivery of data solutions using data platform architecture and tech standards.
  • Devise, Lead and execute continual improvement initiatives in all Data Management Service delivery and technology, with a focus on delivery velocity and quality.
  • Define or influence system, technical and application architectures for major areas of development.
  • Engage with business partners to report (formally and informally) on technology strengths, weaknesses, successes, and challenges on a regular basis.
  • Should be an individual with in-depth technical knowledge and hands-on experience in the areas of Data Management, BI Architecture, Data Quality, Data Governance and Data Architecture.
  • Should have excellent analytical skills, able to recognize data patterns and troubleshoot the data.
  • Partner with cross-functional stakeholders across the company to understand and prioritize their demand.
  • Grow a team of data engineers, analytics engineers and data scientists; responsible for delivering high quality and actionable data, dashboards, analysis, and toolset.