Dir – Operational Intelligence

Dir – Operational Intelligence

Requirements

• MS or equivalent experience in Computer Science, Engineering, or related technical field
• 15+ years of hands-on experience in BI / analytics and data architecture
• 5+ years of experience leading business intelligence, analytics, and data engineering teams—including leading managers
• Hands-on experience with distributed data stores such as Snowflake, Databricks, S3
• Expertise in machine learning, predictive modeling, data mining, and advanced statistical techniques
• Expertise in data modeling, database / schema design, ETL, and data management principles / solutions (Natural Language Processing & related AI/ML concepts a plus)
• Proficiency in scripting languages (SQL and Python), visualization tools (Tableau or similar, e.g., Power BI or Looker), and Web Analytics (e.g., Adobe Analytics)
• Practical experience with product analytics and marketing / web analytics (search analytics is a plus)
• Excellent people management skills with a demonstrated ability to lead and inspire teams
• Effective communication skills to collaborate with technical and non-technical team members

Responsibilities

• Lead and drive a team of engineers toward business objectives and goals
• Define the data analysis and engineering vision, set the technical roadmap, and align it with broader business goals; conduct exploratory data analysis to identify patterns, trends, and correlations that can inform product and engineering strategy and guide decision-making
• Define and measure key performance indicators and metrics to assess the success of central initiatives, ensuring that all data-driven efforts lead to measurable improvements in client outcomes
• Build statistical models and machine learning algorithms to predict customer cohorts, usage, and financial drivers and implications to proactively address potential issues
• Oversee the design, implementation, and maintenance of robust data pipelines and infrastructure
• Work closely with product and marketing teams to advise, define, and prioritize roadmaps and features
• Work with finance to build financial models and forecasting tools that support decision-making and business growth, focusing on risk management, budgeting, and long-term financial planning
• Communicate findings and collaborate closely with cross-functional team members to ensure that data-driven insights directly inform and align with strategic priorities
• Analyze large and complex data sets to provide actionable insights based on usage, capacity, entitlement, consumption, performance, cost, and efficiency to support product and engineering decisions and initiatives

Preferred Qualifications

No preferred qualifications provided.