Marketing Data Science Manager

Overview

AARP Services, Inc., founded in 1999, is a wholly-owned taxable subsidiary of AARP. AARP Services manages the provider relationships for and performs quality control oversight of the wide range of products and services that carry the AARP name and are made available by independent providers as benefits to AARP's millions of members. The provider offers currently span health products, financial products, travel and leisure products, and life event services. Specific products include Medicare supplemental insurance; credit cards, auto and home, mobile home and motorcycle insurance, life insurance and annuities; member discounts on rental cars, cruises, vacation packages and lodging; special offers on technology and gifts; pharmacy services and legal services. AARP Services also engages in new product development activities for AARP and provides certain consulting services to outside companies.

The Data Science & Analytics Manager collects, manages, researches, and analyzes data to develop insights for use in decision-making and setting business priorities. Produces and distributes scheduled reports. Consults with management to discuss data insights and trends. Collaborates with management to identify opportunities to streamline data processes and to develop new procedures that support the business unit/department.

The successful incumbent will support our business stakeholders by generating Marketing Insights through data mining, data manipulation and data interpretation across different cloud-based platforms. Your hybrid skills in marketing across multiple channels and programming languages like Python, SQL and SAS is a definite asset to this department and the key stakeholders. Your working experience (preferably 5+ years) coupled with a master's degree in the quantitative domain will be highly appreciated in this role.

Responsibilities

• Collects, manages, analyzes, synthesizes, and provides data to identify trends, draw insights, and address critical questions to achieve organizational objectives. Works with management teams to develop performance measurement frameworks (i.e., KPI's, metrics, etc.).
• Works with cross-functional teams to align and integrate data platforms/process/reporting capabilities to ensure superior experience, functional excellence, and develop operational efficiencies. Manages data quality and provides support to various projects/analysis gathering data and presenting results.
• Determines data analysis strategies and advises staff on statistical and data analytic issues. Conducts and/or supervises data analyses, including statistical analyses as required.
• Contributes to the development of long-term goals and strategic plans to ensure continued successful growth and sustainability. Coordinates and integrates division plans with the organization's business goals and objectives. Reviews achievement of performance versus strategic plans.
• Evaluates existing programs to identify improvements and to measure outcomes. Analyzes and tests current processes and systems to determine effectiveness and efficiency.
• Serves as an expert resource on data sources, tools, and analytical procedures/methodologies. Provides expertise including peer review, data interpretation or related technical assistance, training, references, and/or consultation. Evaluates and integrates new or existing data sources, tools, and analytical techniques by monitoring key news, policies, and/or market trends.
• Develops clear, well-integrated research deliverables, including through data visualization and graphics, that communicate data and insights. Presents data and insights to internal and/or external audiences (for example: media, legislators, press conferences, organization decision makers) in a clear and concise manner.

Qualifications

• Master's degree in quantitative discipline is required. Ph.D. in quantitative discipline is preferred.
• 5+ years of experience is required, 8+ years preferred.
• Willing to accept more experience with Bachelor's degree in lieu of Master's degree.
• Proficiency is open source programming is required.
• Experience working in DB manipulation, navigation, and harvesting of data is required.
• Predictive modeling and machine learning experience is required.
• Digital marketing platform experience is required. Experience with multi-channel marketing campaigns.
  Needs to have great interpersonal and communication skills. Needs to be able to communicate technical language to non-technical - will be working with a lot of "non-data" people and needs to be able to communicate these complex topics to them.
• Experience w/ AI is preferred.
• Experience working with big data is preferred.

Additional Requirements

• Regular and reliable job attendance
• Effective verbal and written communication skills
• Exhibit respect and understanding of others to maintain professional relationships
• Independent judgement in evaluation options to make sound decisions
• In office/open office environment with the ability to work effectively surrounded by moderate noise

Flexible Work Arrangement (FWA)

AARP observes Mondays and Fridays as telecommuting workdays, except for essential functions. Remote work and telecommuting can only be done within the United States and its territories.

Compensation and Benefits

AARP offers a competitive compensation and benefits package including a 401(k); 100% company-funded pension plan; health, dental, and vision plans; life insurance; paid time off to include company and individual holidays, vacation, sick, caregiving, and parental leave; performance-based and peer-based recognition; tuition reimbursement; among others.

Equal Employment Opportunity

AARP is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture. AARP does not discriminate on the basis of race, ethnicity, religion, sex, color, national origin, age, sexual orientation, gender identity or expression, mental or physical disability, genetic information, veteran status, or on any other basis prohibited by applicable law.