• Define the PACE OU industry go-to-market approach and develop roadmaps that drive customer success and Salesforce market leadership • Bring a Salesforce-agnostic perspective on industry trends to elevate customer conversations and field acumen • Lead Salesforce's most complex pursuits, shaping value propositions and transformative initiatives for C-suite executives • Serve as a trusted advisor to senior leaders internally and at top customers through strategic workshops and compelling communication • Partner with sales teams to create customized solutions that address customers' biggest challenges • Align with PACE OU leaders and engage regional Sales, BVS, Marketing, Enterprise Architecture, and Solution Engineering teams • Inspire and align multi-disciplinary teams to execute against strategic priorities with a culture of collaboration and accountability • Track key metrics and ensure strategic initiatives deliver measurable revenue growth, pipeline, and customer success • Maintain deep industry knowledge and contribute to initiatives that enhance Salesforce's credibility in PACE sectors • Build, mentor, and retain two high-performing, geographically dispersed teams

• Serve as the AI product strategist and voice of the business, identifying unmet needs, pain points, and opportunities for AI and analytics to drive transformation • Define product vision, problem statements, and success metrics in partnership with business/tech stakeholders • Lead discovery and ideation sessions and first-principles problem solving to translate ambiguous business challenges into well-defined opportunities and prioritized product roadmaps • Develop clear hypotheses for value creation and partner with technical Product Managers and teams to translate these into requirements and execution plans • Lead and integrate modernization initiatives across identified Big Bet initiatives • Translate business needs into AI use cases and process requirements • Lead work to design future-state processes that integrate AI capabilities

• Define and execute a roadmap for AI-driven improvements to the customer journey, from onboarding to service delivery. • Identify pain points and opportunities to enhance customer interactions using predictive analytics, personalization, and automation. • Monitor KPIs related to customer satisfaction, retention, and engagement, and adjust strategies to drive measurable improvements. • Champion a customer-first mindset across the organization, promoting adoption of AI-enabled tools that improve service quality.

Role Description As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development, and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies' success. We realize that our strength and competitive advantage lie with our people. We support our employees in several ways to foster a healthy working environment, meaningful work, mobility, networking, and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees. The Associate Director, Business Analytics role supports multiple customer groups and/or therapeutic areas & will be an expert in statistical methodologies for measuring marketing impact, will have a broad understanding of the pharmaceutical industry and a deep familiarity with industry data sources. This role requires using sophisticated analytics for projects including: - Marketing mix modeling - ROI analyses on all relevant marketing programs/customer channels and promotional spends - Customer profiling and segmentation - Predictive modeling Responsibilities for this role include the conducting and interpretation of advance analytics to support decision making on promotional strategies and effectiveness (ROI and Marketing Mix analysis), supporting brand planning/field force evolution/non-personal digital/virtual activities and serving as inputs to the forecasting process. Duties & Responsibilities - Conducts advanced analytics to brand teams/customer channels in support of brand planning and promotional resource allocation, resource allocation in customer channels including digital and evolution of commercial model. - Liaises between Marketing and Sales in the development of business tactics and strategies. - Responsible for leading the development of targets and segments that are aligned with business strategy. - Responsible for executing departmental procedures and collaborating within the organization to ensure the marketing strategy is integrated into delivered sales force call plans for both in person and virtual/non-personal digital, telephone plans etc. - Works with internal customers to assure that responsible analytical results are communicated and used effectively. - Builds and shares knowledge of analytical methodologies and high-quality vendors including third party digital agencies with others in the department. - Establishes work habits to support the therapeutic business function's evolving process and execution needs. Qualifications - Bachelor's degree and seven (7) years of analytic experience with relevant data sources and analytical methodologies. - OR Master's degree and five (5) years of experience with relevant data sources and analytical methodologies. - Proficiency in the development, documentation and communication of analytical plans. - Proficiency in advanced analytical techniques including multivariate analytical and promotional responsiveness techniques. - Proficiency in customer identification and segmentation that has influenced marketing and sales strategy. - Experience in conducting digital analytics (non-personal marketing tactics such as email, banner, mobile and alerts) or working in another analytical field with a demonstrated passion for digital technology. - Experience in analyzing campaigns and performing in-campaign analytics to improve performance and working with Consumer marketing databases. - Experience in understanding customer needs, incorporating in deliverable, and ensuring recommendations/results and implemented. - Experience in coordinating insights from disparate functions and sources, e.g., marketing research, forecasts, etc., into a comprehensive and insightful analysis and/or recommendation. - Proficiency in R/Python and/or SAS and other data extraction and analytical tools such as SQL, etc. - Experience with Excel and Power Point. - Strong interpersonal abilities. - Ability to manage multiple projects at the same time. - AI experience preferred. Requirements - Must be legally authorized to work in the United States without restriction. - Must be willing to take a drug test and post-offer physical (if required). - Must be 18 years of age or older.