Manager, Decision Science

Location: Remote - US based candidates only, no visa sponsorship available. Compensation: $100,000 – $125,000 annually.

About the role

For our client, we are seeking a Manager, Decision Science to join the team of a leader in the Technical Services space. This role will lead measurement and analytics efforts that help translate complex data into clear, actionable recommendations for marketing and media initiatives. You will partner closely with clients and internal teams to define KPIs, interpret performance, and guide optimization strategies that improve campaign outcomes. The position also includes mentoring junior analysts and strengthening the team’s ability to deliver trusted, insight-driven support.

Responsibilities

• Design measurement strategies for cross-channel campaigns, aligning KPIs with business objectives
• Create analyses that explain what is important, why it happened, and what should be done
• Develop dashboards and reports to track KPIs and campaign performance for internal and client teams
• Build and maintain strong relationships with clients, positioning the Analytics team as a trusted partner
• Translate client needs and data into actionable strategies for internal teams
• Forecast audience performance to inform campaign optimization
• Manage and mentor a team of junior analysts in data analysis and reporting best practices

Qualifications

• Bachelor's or Master's degree in a Quantitative or Science field, or 4+ years of analytical experience
• Strong media and marketing background preferred
• In-depth knowledge of digital media metrics and tracking across all channels
• Excellent analytical and problem-solving skills with the ability to derive actionable insights from data
• Strong client-facing skills with the ability to communicate across all levels of an organization
• Proficiency with big data and cloud platforms such as AWS, BigQuery, or Snowflake
• Experience with data analysis and visualization tools such as Tableau, Power BI, or Superset, and familiarity with SQL, Python, or R is advantageous

Benefits

• Multiple health insurance options available
• Flexible paid time off (PTO) policy
• Life insurance coverage provided
• 401K retirement plan options