Hybrid Senior Manager, Commercial Decision Science

Posted last month

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About the role

  • Senior Manager leading decision science team delivering AI/ML projects for patient care solutions. Overseeing analytics initiatives and mentoring data scientists in a collaborative environment.

Responsibilities

  • Lead a high-performing decision science team to deliver transformative AI/ML and advanced analytics projects
  • Oversee machine learning, advanced analytics, and omni-channel initiatives
  • Design and deploy advanced models (including predictive modeling and Gen AI)
  • Serve as the primary point of contact for commercial leaders on all AI/ML and omni-channel initiatives, effectively communicating project status, impact, and success to key stakeholders and ensuring alignment with business priorities
  • Mentor data scientists and fostering expertise in analytics and omni-channel applications
  • Communicate project impact to commercial leaders and align with business priorities
  • Build team capabilities through professional development and industry best practices
  • Monitor performance of omni-channel tactics for continuous improvement
  • Stay current with industry trends to ensure innovation

Requirements

  • Doctorate degree and 2 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field OR Master’s degree and 4 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field OR Bachelor’s degree and 6 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field OR Associate’s degree and 10 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field OR High school diploma / GED and 12 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field
  • Relevant Omnichannel media strategy experience within the Bio/Pharmaceutical industry
  • Experience in AI, Machine Learning, quantitative methods, multivariate statistics, predictive modeling and other analytics frameworks/techniques with 5+ years of experience delivering complex analytical projects
  • Experience in Databricks and AWS (and other cloud technologies)
  • Advanced proficiency and hands on coding experience in Python/R/Scala/Java or any other Object-Oriented Programming language
  • Proficiency working with external claims data to understand patient journeys and conduct relevant analysis for therapeutic teams
  • Comprehensive understanding of the components of setting up data models in git based environment with CI/CD capabilities
  • Ability to cultivate and encourage an environment of openness and transparency in seeking diverse opinions and empower risk-taking in idea generation, idea incubation and/or experimentation
  • Partners with business leaders to deliver high-quality predictions that guide strategic decision making
  • Oral, written and presentation skills to explain complex concepts and controversial findings clearly to a variety of audiences, including senior management
  • Comfortable challenging the status quo and bringing forward innovative solutions
  • Understanding of technology platforms and ability to partner with IS/IT and business leaders both onshore and offshore.

Benefits

  • A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions
  • group medical, dental and vision coverage
  • life and disability insurance
  • flexible spending accounts
  • A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
  • Stock-based long-term incentives
  • Award-winning time-off plans
  • Flexible work models where possible.

Job title

Senior Manager, Commercial Decision Science

Job type

Experience level

Senior

Salary

$165,606 - $199,987 per year

Degree requirement

No Education Requirement

Location requirements

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