Novartis Hiring for X Director, Resource Optimization (Data Science) job in East Hanover Full Time

Bringing life-changing medicines to millions of people, Novartis sits at the intersection of cutting-edge medical science and innovative digital technology. As a global company, the resources and opportunities for growth and development are plentiful including global and local cross functional careers, a diverse learning suite of thousands of programs & an in-house marketplace for rotations & project work. With a strong medicines pipeline our current transformation will not just deliver growth for our business but continue to allow us to bring innovative medicines to patients quickly.

The DIA organization in US Innovative Medicines is the Novartis engine for achieving best in class Healthcare provider (HCP) experience and transformative digital patient engagement. The Enterprise Analytics and Data Science group within DIA is seeking a highly motivated analytic expert to optimize resource allocation across the commercial organization. This role will utilize marketing mix modeling, multi-touch attribution, and other advanced analytic techniques to identify the cause-and-effect relationships between our investments and market outcomes.

This position reports to the Director, Resource Optimization Lead with the Customer Engagement & Enterprise Analytics team in DIA. This leader will work with Integrated Insights, Predictive Analytics & Customer engagement, Finance, Marketing Strategy, and Agency teams to determine design, develop, and deploy analytic models for optimizing promotional investments. The person will operate as player/coach and leading a team of modelers across brands and therapeutic areas in a Center of Excellence model. The person will keep abreast of the latest thinking and best in class methods/models for resource allocation decisions in the commercial organization.

Your responsibilities include, but are not limited to:
• Develop and lead a comprehensive analytical agenda that is aligned with Novartis’ established and emerging marketing investment choices and opportunities.
• Collaborate actively with the Predictive Analytics & Customer engagement team to validate and up-date models as needed based on in-market events and business needs.
• Develop and deliver executive quality presentations to a stakeholder audience comprising of senior brand and finance leadership.
• Lead the development of portfolio and brand specific investment optimization models across all promotional channels and tactics, as well as non-promotional aspects of the total spend in the P&L
• Lead digital multi touch attribution (MTA) modeling efforts to optimize targets campaigns.
• Provide ongoing evaluation of promotional efforts using the models developed, experimental design, optimizer tools and dashboards.
• Provide Insights and recommendations to finance, integrated product teams, Integrated Insights, Marketing Strategy, finance, Predictive Analytics & Customer engagement and agency teams to al-locate promotional investments to maximize value.
• Take ownership of marketing mix input data quality. Work with the data teams to augment data sources as needed.
• Provide marketing effectiveness subject matter expertise through a proactive, unbossed approach to community of analytics professionals and direct reports.
• Keep abreast of latest developments in marketing mix modeling, multi-touch attribution and data science.
• Take a hands-on role and deliver on highly visible projects
• Bring a “can-do” attitude and teamwork, and inspire others on culture change
• As an SME in this area, build organizational acumen in data lead resource allocation decision making

“The ideal location for this role is our East Hanover site but remote work may be possible (there may be some restrictions based on legal entity). Please note that this role would not provide relocation as a result. If associate is remote, all home office expenses and any travel/lodging to specific East Hanover site for periodic live meetings will be at the employee’s expense. The expectation of working hours and travel (domestic and/or international) will be defined by the hiring manager. This position may require up to 20% travel. This is a US based position. No international relocation will be provided for this position. “What you’ll bring to the role:
• Bachelor’s degree required in Math, Statistics, Economics, Marketing, or any quantitative/analytical field. Master’s or Ph.D. in Math, Statistics, Economics, or an Analytical field preferred.
• Hands on expertise in developing marketing mix models and digital multi touch attribution modeling
• A minimum of 7 years experience applying analytical techniques to answer marketing performance questions.
• Expertise in R or Python. Advanced knowledge of querying languages. Exposure to Statistical Soft-ware packages such as SAS, SPSS or STATA
• Previous experience in either pharma, biotech, healthcare, or consumer products.
• Deep understanding of Pharma data sets and broad TA experience
• Excellent PowerPoint and MS office skills.
• Outstanding interpersonal skills, including open and productive relationships with peers and collabo-rate successfully across the organization
• Experience in Oncology or Pharma data sets (desired)

The pay range for this position at commencement of employment is expected to be between $183,200 and $274,800/per year; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to mod

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Commitment to Diversity & Inclusion:
Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.

Accessibility and Reasonable Accommodations: Individuals in need of a reasonable accommodation due to a medical condition or disability for any part of the application process, or to perform the essential functions of a position, please send an e-mail to [email protected] or call +1 (877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

COVID-19: While Novartis does not require vaccination at this time, for certain Novartis sites in the US all associates and candidates may be required to either upload an image of their COVID-19 vaccine card demonstrating proof of full vaccination for COVID-19 (or other similar evidence of vaccination) or proof of a negative COVID-19 test taken by the associate or candidate within the past seven days to enter any of our sites and/or customer office or healthcare facility, as well as prior to participating in other work related off-site meetings. Employees working in customer-facing roles must adhere to and comply with customers’ (such as hospitals, physician offices, etc.) credentialing guidelines, which may require vaccination. As required by applicable law, Novartis will consider requests for reasonable accommodation for those unable to be vaccinated. This requirement is subject to applicable state and local laws and may not be applicable to employees working in certain jurisdictions. Please send accommodation requests to [email protected].

Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network

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