Director, Decision Science Analytics

About the role

The USAA Marketing Strategy & Analytics (MS&A) team is dedicated to ensuring every member we acquire is a family whose financial security we help build. Our team focuses on providing granular and actionable visibility into our marketing acquisition investments.

Responsibilities

• Leads or collaborates with other analytical leaders in executing the strategic direction of the business using mathematical and statistical techniques and/or innovative/quantitative analytical approaches.
• Develops team reputation as highly skilled experts in the area of decision science support.
• Evaluates the business problem, analytical methodology, validation, documentation and presentation of findings and recommendations.
• Maintains and innovates knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.
• Identifies additional resource needs ranging from IT investments, 3rd party support or additional analysts and provides business rationale and justification for additional needs.
• Understands the business direction, environment and strategies, to set the analytic direction and creates strategy to execute the approach that will influence business and drive change.
• Builds and oversees a team of employees for assigned functional area through ongoing execution of recruiting, development, retention, coaching and support, performance management, and managerial activities.
• Sets the analytic direction and creates strategy to execute the approach that will influence business and drive change.
• Assigns and or Serves as a mentor for mathematical skills and statistical techniques and guides teams to use the appropriate approaches, to drive fact-based decision-making.
• Researches and pursues the latest and/or industry leading practices in data and analytics, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data) to advance the overall DSA community knowledge.
• Identifies opportunities to continue to learn in the data and analytics space, whether informal (E.g., Coursera, Udemy, Kaggle, Code Up, etc.) or formal (E.g. Certifications or advanced coursework).
• Works with IT/CTO partners to advance new data and platforms that correspond to evolving skill sets.
• Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

Requirements

• Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree.
• 8 years of experience in a decision support analytic function OR Advanced degree in relevant discipline, 6 years of experience in a decision support analytic function.
• 3 years of direct team lead or management experience.
• Demonstrates expert skills in mathematical and statistical techniques and approaches used to influence Business Strategy with fact-based decision-making to all levels of leadership up to senior executive levels.
• Modernizes knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.
• Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights.

Qualifications

• Prior U.S. military service or being a military spouse/domestic partner is highly valued.
• 8+ years in marketing analytics or data science, with 3+ years leading teams.
• 5+ years working with 3rd party data sources (data co-ops, data marketplaces, credit bureaus) to build marketing targeting models.
• 5+ years in digital platforms (Adobe, Google) and clickstream behavioral data.
• 3+ years working with MarTech and CDP platforms (eg - salesforce, adobe, actionIQ) including audience activation and orchestration.
• 3+ years in identity resolution - deterministic/probabilistic matching, household graphs, clean rooms, etc.
• Expert proficiency in SQL and Python or R; comfortable in cloud data environments (Snowflake, Bigquery, Databricks).
• Experience with data visualization or BI tools (Tableau, Power BI) to communicate insights effectively.

Skills

• Expert proficiency in SQL and Python or R; comfortable in cloud data environments (Snowflake, Bigquery, Databricks).
• Experience with data visualization or BI tools (Tableau, Power BI) to communicate insights effectively.

Benefits

• Comprehensive medical, dental and vision plans.
• 401(k).
• Pension.
• Life insurance.
• Parental benefits.
• Adoption assistance.
• Paid time off program with paid holidays plus 16 paid volunteer hours.
• Variety of wellness programs.
• Career path planning and continuing education.

Pay

$164,780 - $314,960

Schedule

Remote eligible in the continental U.S. with occasional business travel. Individuals residing within a 60-mile radius of a USAA office will be expected to work on-site 4 days per week. Relocation assistance is available for this position.