East Hanover, NJ
6,000! This is how many scientists and physicians around the world use our data to reimagine medicine and create therapies that save lives. Building expertise in Enterprise Analytics and Data Science is a major priority for the US Oncology Strategic Data and Digital team. Strong data and analytics enables Novartis to share valuable brand information with physicians. Enterprise Analytics include both Digital and personal promotion channels. Digital may include endemic and non-endemic 3rd party platforms, Emails, EHRs, or Banners. Personal promotion may include Representative calls, speaker events, and lunch and learn. Enterprise Analytics will be critical to the success of our efforts, and focus areas will include how we measure, track, monitor, draw insights from, and integrate tactics and campaigns across these channels to maximize return on investment and impact. The Director, Enterprise Analytics and Data Science contributes to defining the resource allocation and optimization strategy for various Oncology Brands. This individual will provide analytical support through data science in the campaign measurement, experimental design, data mining, and response modeling using large internal and external physician-level datasets. The Director will work closely with the Digital team and Brand teams within Novartis Oncology Business units such as Solid Tumors and Hematology to develop new techniques and standardization across the analytics organization. In addition to conducting data science and enterprise analytics, the individual in this role will collaborate closely with global data science teams to conduct modeling and piloting for various brands. What will your responsibilities be? (non-exhaustive list) Support Enterprise Analytics & Data Science in the development and implementation of new analytical methods to enhance payer, account and pricing analytics. Find opportunities for alignment with other advanced analytics initiatives. Lead special initiatives around path to prescription. Lead communication and gain alignment across analytics teams in relation to market access initiatives. Assist in the creation of Non-personal promotion (NPP) campaigns: Work with NPP team, Brand Analysts, and external vendors in setting up specific campaigns (for HCPs), including List creation, Test Control design set up, KPI metrics and Dashboards. Lead the problem solving on Metrics and KPIs, especially as these relate to new channels/tactics, leading the problem solving with vendors and internal partners on identifying the right set of KPIs, Metrics to track for new tactics. Develop appropriate communications (e.g., presentation documents) to share with broader organization. Also identify data needs, and set up back-end models to understand the impact of channels/tactics. Understand various promotional channels including functional understanding of emerging channels such as Digital, Point of care, EHR from measurement perspective. Solve NPP analytics related questions and seek to develop a Novartis perspective. Sample questions include: Does sequencing of channels matter, and how (e.g., Direct mail followed by a Rep detail)? What strategies yield the best result for different channels/tactics (e.g., how many Direct mail touches are optimal or who to target for EHR campaign)? Measure the effectiveness of various NPP initiatives from the incremental Rx lift and ROI perspective. Collaborate with brand analysts on creation of target Lists, segmentation, and response models: Regularly work with prescriber level Rx data to ensure marketing effectiveness and answer critical business questions through sophisticated statistical techniques. Perform design of experiments and advanced statistical analyses to learn the success of marketing efforts. Guide teams on List generation, List match techniques, and inform targeting discussions with brand analysts. Targeting includes strategic considerations such as which HCP segments to include for NPP efforts given past performance, promotional sensitivity, and ROI economics. Identify areas for the application of big data predictive analytics applications in NPP efforts. Be externally focused in leveraging ideas from other industries or pharma companies. Support Agile Marketing requiring fast turnaround on analytic measurements. Challenge the status quo, and bring outside pharma insights: Challenge external vendors and internal Novartis teams to think differently, and leap frog others in the pharma industry – e.g., around when and how to use different channels, how to measure success, how to make trade off decisions. Constant learning of new marketing techniques and knowledge of 3rd party providers to inform discussions with brand marketers and channel partners is important. Train and mentor teams on data science: Provide hands on advisement to fellow analysts on how to measure, what good looks like, what not to measure, how to set up experiments etc. Create standardized processes, templates etc. for further rollout to the organization. Actively participate in training sessions for organizational initiatives on data science. Collaborate multi-functionally in a matrix organization that consists of Digital team, Brand Teams, Brand Analysts, Campaign Operations Managers, Media agency, Data and Digital and offshore team; share the best methodologies across the organization.
The Novartis Group of Companies are Equal Opportunity Employers and take pride in maintaining a diverse environment. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.
What will you bring to the role? • Graduate Degree in Quantitative Disciple (e.g. Mathematics, Statistics, Engineering, Operations Research or Business). • Minimum 5+ years of overall pharmaceutical industry experience with data management and analytics required • Experience in Marketing Analytics producing response models and test-control statistical analysis required; specifically should understand tactically how analytics for marketing channels (e.g. Web, Email, EHR, Digital banners etc.) are set up and conducted including what to measure, and how to scale analytics needs • Working experience with key pharma databases (e.g., IMS: NPA, Xponent, DDD, Plantrak; Symphony, Decision Resources). • Solid working knowledge of analytics, patient/prescriber-level Rx databases (e.g., IMS, Symphony) in the pharma industry. • Experience with Big data and predictive analytics a plus • Ability to synthesize complex and diverse set of information; influence without authority various partners to steer towards a solution • Strong written and oral communication skills, including the ability to translate a complex analysis into simple ‘business speak’ and present analytical results to internal clients up to the executive level • Ability to work under pressure, demonstrating initiative and flexibility through effective and innovative leadership ability • Ability to understand new data sources in a short timeframe and incorporate them into standard analyses. • Attention to detail and quality focused. • Excellent organizational, planning, resource and project management skills • Good interpersonal and communication skills, and ability to operate effectively in an international environment; Past experience in working with offshore teams a plus • Learning agility, ability to pick up new trends and learn quickly • Strong interpersonal skills and ability to influence without authority • Experience in data visualization and dashboard tools like Tableau a plus What will you receive in return? Competitive salary, annual bonus, long term incentive for select levels, health insurance, paid vacation/holidays, potential flexible working arrangements, subsidized dining facilities, employee recognition scheme. Why Join Novartis? 750 million. That’s how many lives our products touch. And while we’re proud of that fact, in this world of digital and technological transformation, we must also ask ourselves this: how can we continue to improve and extend even more people’s lives? We believe the answers are found when curious, courageous and collaborative people like you are brought together in an inspiring environment. Where you’re given opportunities to explore the power of digital and data. Where you’re empowered to risk failure by taking smart risks, and where you’re surrounded by people who share your determination to tackle the world’s toughest medical challenges. We are Novartis. Join us and help us re-imagine medicine.