Summary:

The position emphasizes strategic partnership, data-driven decision-making, and the application of advanced analytics including AI to enhance field effectiveness and business outcomes.

The role involves collaborating with Brand and Sales leadership to define vision and strategy, driving field effectiveness through clear execution guidance, and developing standardized metrics and integrated solutions for field force challenges.

Responsibilities:

• Partner with Brand and Sales leadership to create the vision and strategy for Field Strategy and engagement/analytics in alignment with leadership priorities and business stakeholder requirements.
• Driving field effectiveness through clear execution guidance (Sales Rep, informed HCP engagement and performance measurement frameworks.
• Enable data-driven decision-making, generating insights, and providing strategic guidance to optimize business operations in Field Engagement.
• Identify opportunities for in-depth field analytics based on ongoing trend assessments.
• Develop standard cross-brand metrics/KPIs, and work with Commercial to enhance value of information in business performance and execution reports.
• Partner with Brand, Sales, S & O leads, CASA, other Field teams, Commercial IT, and other internal/external matrix teams to deliver integrated solutions to emerging field force related issues and questions.
• Enable seamless development, execution, and evaluation of ad-hoc requests.
• Support the application of fact-based decision making for KBQs for in-line and new launches in BMS.
• Implement best practice adoption using AI within stated areas of responsibility, applying appropriate levels of technical capability and subject matter expertise to address business questions.
• Execute market/business analysis to improve value to the business through deepened market understanding and practical application.
• Provide input/feedback to improve and enhance capabilities related to analytics deliverables including evaluation of AI tools and platforms to disseminate information to the field.
• Partner with Analytic and Data-strategy teams in CASA to identify, evaluate current and future Brand needs in support of decision making.
• Support culture of analytics and fact-based decision making through tutilization of standard methodologies and approaches.
• Develop and maintain a deep understanding of business priorities, meeting agreed upon analytics deliverables/timing.
• Develop seamless, collaborative, cross-functional approaches to problem solving and holistic cross-customer analysis.

• BA/BS required (quantitative area of studypreferred)
• 5+ Years relevant pharmaceutical/healthcare industry experience
• Demonstrated therapeutic experience in Cardiovascular/Neuroscience
• Ideal candidates have a blend of experience in performing analytics to determine relationship between execution and Brand Performance
• Strong experience working with structured/unstructured data
• Strong knowledge and hands-on experience of secondaryhealthcare data (ie: EMR, Claims, Sales, etc.)
• Experienceoperating successfully in a complex/matrix organizational environment
• Experienceinteracting with senior management, understanding, anticipating, and fulfilling their insight/analytical information requirements

Competencies

• Applies AI-enabled tools, analytics, and automation capabilities to enhance productivity, decision-making, and business outcomes.
• Ability to draw inferences from disparate data sources, identify key findings, link to implications and provide recommendations in a digestible and business-friendly format
• Strong oral/written communications and presentation skills
• Proven ability to lead teams and influence cross-functionally in matrix
• Strong interpersonal skills, including the ability to work with diverse teams across organizational lines and structures
• Hands on experiences with data manipulation and visualization tools such as Tableau, Alteryx, SQL, SAS, etc.
• Proficiency and familiarity with Microsoft Suite

• BA/BS required (quantitative area of studypreferred)
• 5+ Years relevant pharmaceutical/healthcare industry experience
• Demonstrated therapeutic experience in Cardiovascular/Neuroscience
• Ideal candidates have a blend of experience in performing analytics to determine relationship between execution and Brand Performance
• Strong experience working with structured/unstructured data
• Strong knowledge and hands-on experience of secondaryhealthcare data (ie: EMR, Claims, Sales, etc.)
• Experienceoperating successfully in a complex/matrix organizational environment
• Experienceinteracting with senior management, understanding, anticipating, and fulfilling their insight/analytical information requirements

Competencies

• Applies AI-enabled tools, analytics, and automation capabilities to enhance productivity, decision-making, and business outcomes.
• Ability to draw inferences from disparate data sources, identify key findings, link to implications and provide recommendations in a digestible and business-friendly format
• Strong oral/written communications and presentation skills
• Proven ability to lead teams and influence cross-functionally in matrix
• Strong interpersonal skills, including the ability to work with diverse teams across organizational lines and structures
• Hands on experiences with data manipulation and visualization tools such as Tableau, Alteryx, SQL, SAS, etc.
• Proficiency and familiarity with Microsoft Suite

Qualifications:

• BA/BS required (quantitative area of studypreferred)
• Minimum 5 years relevant pharmaceutical/healthcare industry experience
• Demonstrated therapeutic experience in Cardiovascular/Neuroscience preferred
• Ideal candidates have a blend of experience in performing analytics to determine relationship between execution and Brand Performance
• Strong experience working with structured/unstructured data
• Strong knowledge and hands-on experience of secondaryhealthcare data (EMR, Claims, Sales)
• Experienceoperating successfully in a complex/matrix organizational environment
• Experienceinteracting with senior management, understanding, anticipating, and fulfilling their insight/analytical information requirements

Competencies:

• Applies AI-enabled tools, analytics, and automation capabilities to enhance productivity, decision-making, and business outcomes.
• Ability to draw inferences from disparate data sources, identify key findings, link to implications and provide recommendations in a digestible and business-friendly format
• Strong oral/written communications and presentation skills
• Proven ability to lead teams and influence cross-functionally in matrix
• Strong interpersonal skills, including the ability to work with diverse teams across organizational lines and structures
• Hands on experiences with data manipulation and visualization tools such as Tableau, Alteryx, SQL, SAS
• Proficiency and familiarity with Microsoft Suite