Grp Dir, Data Sci/Adv Alt -SVP

Job Description

JOB SUMMARY:

As a SVP, Group Director of Data Sciences & Advanced Analytics you will lead our team in uncovering valuable insights from large datasets and driving business strategies. The successful candidate will manage junior and senior staff, collaborate with upper-management stakeholders and develop data science and engineering roadmaps to maximize ROI for our clients. On the technical side, key responsibilities include analyzing and interpreting complex, disparate datasets, utilizing advanced quantitative methods and extracting trends from customer databases for multi-channel analysis. The ideal candidate will also have experience in thought leadership, translating client needs into product development and delivering impactful presentations to various stakeholders. Join our team as the SVP of Data Science and play a pivotal role in shaping data-driven decision-making processes for our organization.

ESSENTIAL FUNCTIONS:

• Drive invaluable business insights via meticulous analysis, research, and modeling.
• Stay updated with industry advancements, integrating data science best practices into product lines.
• Attend conferences as viewer and presenter.
• Lead advanced quantitative methods for effective segmentation, evaluating efficiency of customer/HCP activities.
• Develop, maintain, enhance statistical models; engage in open-source coding.
• Apply statistical/machine learning techniques to extract trends from extensive data.
• Craft intricate presentations, lead multi-channel analyses, leverage data for strategies.
• Distill insights from customer behavior, steer strategic decisions.
• Lead 8 to 12 junior to VP-level data scientists/engineers, driving team achievements.

JOB DUTIES/RESPONSIBILITIES:

• Provide business and marketing insight to various stakeholders through analysis, research and modeling;
• Keep up with both industry and academic advances/research in data science and engineering, and actively works to incorporate the latest best practices into new product lines;
• Actively manage 8 to 14 junior data scientists, data scientists, lead data scientists, principal data scientists, directors of data science, VPs of data science and engineering and perhaps an SVP (IPGH director) of data sciences;
• Roadmap the agency agenda on advanced quantitative methods to segment customers and healthcare practitioners (HCPs), and evaluate customer/HCP related activities for effectiveness and efficiency;
• Lead the development, maintenance and enhancement of statistical models;
• Be a proactive educator of statistical and machine learning (ML) techniques teaching the department the latest in best practices;
• Prepare and deliver presentations with complex analytical concepts to EVPs and higher on a regular basis;
• Conduct multi-channel analysis for online and offline contexts using browsing and purchase data;
• Assist in development and analysis of real-time data flow;
• Apply analytic techniques to customer or consumer behavior data to determine key customer insights, drive business strategies and maximize ROI.

EDUCATION:

DEGREE/DIPLOMA AREA OF STUDY REQUIRED/PREFERRED

• Bachelors
• Masters
• PhD Mathematics, Statistics, Economics, Computer Science, Engineering or other natural sciences Bachelors - Required
• Masters - Required
• PhD - Preferred

LICENSES AND CERTIFICATIONS:

N/A

EXPERIENCE:

MINIMUM EXPERIENCE AREA OF EXPERTISE REQUIRED/PREFERRED

• 13+ yrs Open-source Programming Required
• 13+ yrs Applied Statistics & ML Required
• 15+ yrs Relational database management Required
• 15+ yrs Presenting and Presentation Building Required
• 10+ yrs Managing 6-10 data scientists or analysts Required
• 6+ yrs Advertising or marketing industry work product Required
• 3+ yrs Healthcare industry work product Required

KNOWLEDGE, SKILLS, & ABILITIES:

• Hands-on expertise using R or Python
• Hands-on expertise using SQL
• Experience in applying advanced statistical and machine learning (ML) techniques
• Strong communication and presentation skills to middle and upper management and clients
• Comfortable working with various business partners and the ability to take initiative to drive projects forward
• Should have experience integrating data scientific modeling into data visualization platforms, such as Tableau and PowerBI
• Should have experience working with data engineers to optimize the backend pipelines with the middle- ground modeling and front-end presentation or interface
• Knowledge of advertising and growth marketing principles, perhaps even some experience with attribution modeling and targeting
• Knowledge of the healthcare space, more helpful to have experience with pharmaceuticals and prescription-related matters
• Must be able to handle multiple projects from week to week

COMPETENCIES:

• Industry Thought Leadership and Influence
• Managing Risk and Uncertainty in Data Initiatives
• Influencing Company-wide Data Culture
• Strategic Budgeting and Resource Allocation
• Demonstrating ROI on Data Science Investments
• Mastery of Domain Expertise
• Ethical Consideration and Compliance
• Effective Communication with Stakeholders at All Levels
• Driving Innovation Initiatives
• Fostering Leadership and Growth in Data Science Teams
• Attracting and Retaining Top Data Science Talent
• Complex Project and Program Management
• Building and Nurturing Strategic Partnerships
• Code Documentation
• Results Documentation
• Data Strategy Development
• Collegiality
• Problem solving
• Programming
• Data wrangling/cleaning
• Statistical analysis
• Adaptability and Learning agility

ADDITIONAL INFORMATION FOR SPECIALTY FUNCTIONS:

• Medical Communications

$260,000 to $290,000 annually

The salary range for this position is noted within this job posting. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position; market considerations; budgetary considerations; tenure and standing with the company (applicable to current employees); as well as the employee's/applicant's background, pertinent experience, and qualifications.