Director - Portfolio Optimization and Analytics

Are you excited at the prospect of contributing to a strategic roadmap for shaping and transforming how the US Commercial business makes investment decisions and allocates resources to drive the largest business impact?  Does influencing ways to optimize resources, maximize return on investment, and determine trade-offs across customers and the US enterprise sound exciting and align with your career goals? How about surfacing new customer opportunities and business partnerships that address customer needs holistically across GSK medicines and vaccines?  If this sounds like a challenge you are up for, then this highly visible leadership role could be an ideal opportunity for you to be a change agent and to progress your career while having significant business impact.

Purpose

As Director, Portfolio Optimization and Analytics, you will drive and develop best practices and data science solutions to solve portfolio resource allocation and optimization challenges across business units at an enterprise level.  You will be responsible for partnering across various stakeholders and functions to develop fit for purpose algorithms and solutions that enable enterprise customer opportunities to be surfaced along with enterprise optimization scenarios to be generated for trade-off decisions that maximize business impact.  You will effectively partner with matrix teams to identify and implement new tools and capabilities that unlock enterprise capabilities and HCP engagement strategies. 

You will need a strategic, inquisitive mindset and keen business acumen matched with strong leadership and communication skills on top of your in-depth analytics experience and expertise to be successful in this role.  You will be expected to advance the use of data science methods and solutions, connect analytics results to business opportunities, demonstrate impact of portfolio optimization scenarios and customer focused trade-offs, and collaborate, communicate, and influence stakeholders across businesses, functions, and levels including BU Sales and Marketing, Market Access, CIO, Finance, US Digital and Tech, and Procurement with vendor partnerships and solutions.

Responsibilities include but are not limited to:

• Lead and develop next generation analytics and data science (AI/ML) capabilities
  • Establish analytics frameworks and standards that are fit for purpose based on best practices in marketing mix methodologies, resource allocation and optimization, HCP engagement analytics, external perspectives and trends, business and customer knowledge across the BUs, and the latest data science developments.
  • Develop models, algorithms, and solution frameworks that will be scaled for effective application of enterprise resource allocation and optimization of investments to maximize business performance
  • Effectively partner with Tech to power your best-in-class methods through development of analytics products to enable effective decision-making.  Be the analytics lead and owner of these analytics products and key point for Tech for enhancements/next gen algorithms.
  • Partner with matrix teams to identify and implement new tools and capabilities that unlock enterprise capabilities and HCP engagement strategies
  • Seek to automate and industrialize such algorithms/solutions, etc. for providing predictive recommendations and prescriptive actions to various commercial teams (Finance, Marketing, Sales, other) and leadership
  • Deploy innovative automated solutions for marketing mix models, facilitating agile enterprise decisions across the portfolio with enhanced speed and reduced resource demands.

• Scale sub-national marketing mix capabilities across portfolio with consistent geographical groupings to unlock deeper insights and enable optimization in local markets. Establish and define “best in class” standards ensuring pull-through across the organization (vs. thinking project by project) for competitive advantage
  • Research and evaluate new developments/advancements in data science, stay on top of industry trends and environmental factors with potential impact on solutions or methods
  • Seek to understand best industry practices in HCP/DTC engagement effectiveness, isolating promotional impact across channels, resource allocation and optimization, and appropriate ways to account for differing healthcare and patient dynamics for accurate, trusted solutions.  Seek to understand best practices external to healthcare for other innovative ideas.
  • Stay on top of key partners and vendors to evaluate build, buy, or hybrid model approaches for the best models with recommendations that are trusted and actioned across various stages of brand lifecycle (launch, growth, maturity)
  • Ensure that standards and best practices can flex as appropriate to