Job Title: Associate Director, Advanced Analytics - Dermatology and Gastroenterology
Location: Cambridge, MA
About the Job
We are an innovative global healthcare company, committed to transforming the lives of people with immune challenges, rare diseases and blood disorders, cancers, and neurological disorders. From R&D to sales, our talented teams work together, revolutionizing treatment, continually improving products, understanding unmet needs, and connecting communities. We chase the miracles of science every single day, pursuing progress to make a real impact on millions of patients around the world.
Strategic Context:
Currently, Sanofi has the most robust pipeline and forthcoming product launches in the company's history. As the next phase of our Play-To-Win strategy, Sanofi must appropriately support this pipeline to materialize our vision of delivering scientific miracles to patients worldwide. Thus, modernizing the Sanofi operational structure is also required. In line with this, project DRIVE is shepherding change throughout the organization and created the development of the Go-to-Market Capabilities (GTMC) team within the company.
The new GTMC organization is charged with delivering best-in-class capabilities to bring speed and increased value to commercial operations. It will refine priorities across products, markets, and the pipeline through dynamic resources allocation and efficiencies. Silos that existed between business units as well as duplicative and overlapping resources will be replaced with standardized processes and tools. Operating with a One Sanofi mindset and entrepreneurial spirit, GTMC will accelerate and improve key capabilities to do more with less and facilitate the best-informed strategic decision making across the organization.
The GTMC organization aims to:
Centralize Go-to-Market operational tasks across GBUs
Standardize best in class capabilities, strengthen global support, and implement a better vertical reporting structure within GTMC from local to global
Define ways of working, bringing clarity on the interactions across GBUs, Digital, and Commercial executional support teams from Sanofi hubs to optimize process excellence and efficiency
The Associate Director, Advanced Analytics - Dermatology/Gastroenterology will be responsible for predictive analytics, including use of AI/ML models, to assess and improve promotional effectiveness. As a member of the Insights and Analytics (I&A) team, this individual will be an integral partner to the Sanofi portfolio brand and commercial teams, helping to answer the "why" questions via drivers analyses to augment the "what" questions on brand performance.
This position will report to the Director, Advanced Analytics - Dermatology, Respiratory, and Gastroenterology and will be based in Cambridge, MA OR Bridgewater, NJ.
Main Responsibilities
Partner and work closely with Senior Leadership, Brand and Functional heads to understand their business priorities and questions
Clean, aggregate, and organize data from disparate sources and transfer it to data lakes
Apply data science techniques, such as machine learning, statistical modeling, and artificial intelligence to generate predictive insights - tactical and strategic insights to improve marketing effectiveness
Lead model development of Patient Identification models to enhance HCP targeting & segmentation as well as Next Best Action applications.
Partner with Brand Analytics leads to leverage outputs of AI/ML models such as patient prediction, HCP clustering, and promotional sensitivity models to enhance salesforce targeting and sizing workstreams.
Lead model development of Patient Support Services models - e.g. drivers analyses and risk identification for non-conversion and discontinuation to help inform PSS strategy across FRMs, Case Managers and Specialty Pharmacies
Act as TA dedicated Advanced Analytics advisors on Marketing Science/Consumer/Omnichannel model builds including marketing mix modeling, multi-touch attribution, next best action and cross-functional orchestration engines - ensuring consistency with other TA analytics work.
Design data modeling processes to create algorithms and predictive models and perform custom analysis enabling micro segmentation
Act as strategic partner to Sanofi Brand and Media teams on Marketing & Commercial budget allocation, helping drive and improve marketing effectiveness in collaboration with Marketing Science Analytics NA lead
Partner with Brand and Media teams to assess media investment scenarios via optimizer tool that leverages response curve outputs of marketing mix model
Procure and leverage industry benchmarks to help better understand which channels are performing above or below industry standard
Help Brand and Media teams translate budget optimization outputs into concrete action plans and recommendations (e.g., identifying root causes of Marketing ineffectiveness and associated levers of improvement)
Liaison with Sanofi Digital Data Science team in the development and maintenance of internal marketing effectiveness models - providing TA specific requirements.
Collaborate and consult with other members of the broader Analytics team to ensure consistency of business logic across all analytical deliverables
Partner with Consumer Media, HCP Omnichannel and Brand Analytics leads to validate that Salesforce execution, Marketing and Media data are accurately input into MMM model
Partner with Advanced Analytics leads to inform and pressure test underlying modeling methodology and business assumptions driving the MMM model
Lead upskilling effort & support implementation of new ways of working
Conduct workshops and training sessions with brand and media teams as well as agency partners to educate on the tool, increase business engagement and foster best practices - helping teams make the tool their own
Ensure appropriate use of the tool during critical business milestones throughout the year (e.g., Budget, Brand plan, etc.)
Lead Hub team day to day on projects in a matrix management structure
Coach junior team members for onboarding, upskilling and Sanofi specific processes/data
About You
Education Requirements
BA/ BS degree and a scientific degree (either MS/ PhD) with a concentration in quantitative fields or advanced certification in modern data science/machine learning is required.
Skills and Competencies
Minimum of 7+ years of experience in a significant Data / Analytics role - with advanced knowledge of statistical models and a clear understanding of modeling methodologies and applied techniques (e.g., Bayesian statistics, regression, customer life cycle value, A/B testing, etc.). Preferably experience with MMM (Marketing Mix Modeling)
Strong analytical acumen and quantitative skills with a demonstrated ability to translate information and data into actionable insights and strategic recommendations.
Deep understanding of sales, marketing, and media data, including agencies and contract management
Advanced analytical skills with proficiency in a broad range of programming languages (e.g., SQL, SAS, Python, R, VBA)
Experience using analytical and code development platforms (e.g. Snowflake, Jupyter Notebook, SAS Studio, SQL developers, GitHub)
Comfort and good intuition around advanced analytics, with a proficient understanding of modeling techniques and advanced applied skills (e.g. Bayesian statistics, Regression, Customer life cycle value, A/B testing)
Experience with CM360 (Campaign Manager 360), Search Ads 360 (SA360), Meta Business Manager, and other key media platform reporting tools
Experience with site analytics platforms like Google Analytics & Adobe Analytics
Experience with pharmaceutical data sources (e.g., IQVIA, Symphony, Komodo, Capgemini, SP)
Experience with segmentation, marketing mix, and adoption driver analyses
Familiarity with data visualization and business intelligence tools (e.g. Power BI, Tableau)
Advanced knowledge of MS Office (Excel, PowerPoint, Word)
Strong proven leadership, communication, and executive presentation skills
Demonstrated ability to work in a matrixed environment with many cross-functional partners
Self-starter, proactive in nature, and actively participates
Ability to understand and influence decisions
Ability to operate effectively in an international matrix environment, with ability to work across time zones.
Certification in Data Science or Artificial Intelligence / Machine Learning preferred
Experience building AI/ML algorithms to develop predictive models preferred
Relevant therapeutic area experience in pharmaceutical analytics preferred
Soft Skills
Effectively influence in a highly matrixed environment
Effectively and confidently communicate to various audiences, including senior leadership
Synthesize complex ideas to simple
Develop brand implications from market research findings, not just a summary of the data
Strong learning agility and high degree of curiosity
Strong focus on detail, accuracy, and ability to solve problems through analytical reasoning
Strong work ethic and personal motivation
Ability to think strategically in an ambiguous environment and flex and pivot as the business requires
Why Choose Us?
Bring the miracles of science to life alongside a supportive, future-focused team.
Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally.
Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks' gender-neutral parental leave.
Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.
