Associate Director, Data Science (Indirect Procurement) at AbbVie

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas immunology, oncology, neuroscience, and eye care and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us atwww.abbvie.com. Follow @abbvie onX,Facebook,Instagram,YouTube,LinkedInandTik Tok.

Job Description

Join an evolving agile, diverse and global function poised to deliver value beyond financials through category management, innovative problem-solving, data and analytics, risk management and supplier management. Our Procurement team is integral to driving AbbVies business strategy, serving as trusted partners with leading capabilities and a customer of choice for our suppliers.

The Associate Director, Data Science (Procurement) is a visionary role focusing on aligning procurement analytics with business strategies, driving the adoption of data-driven decision-making, and enhancing the overall analytical capabilities within the procurement function. This senior position is responsible for leading the development of analytical models, fostering strategic partnerships, and ensuring that analytics effectively enable procurement objectives.

This new Procurement leader will play a strategic role in building a next-generation approach to Procurement as it transforms to become a trusted business partner and an enabler of key business strategy, along with customer of choice for suppliers. Now is the time to join a best-in-class Procurement organization shaping the future of value generation.

Responsibilities:

• Identify future analytics needs and trends, developing capabilities that position the procurement function at the forefront of data-driven decision-making.
• Establish strong partnerships with category leads to understand and anticipate their analytical needs across business areas Operations, R&D, Commercial, etc.
• Collaborate with category leads and peer teams to define and create analytical products tailored to specific category needs, including definition of the data domain and standards for data enrichment.
• Lead the development of advanced analytical models and tools for use cases across procurement, ensuring they effectively meet the needs of category leads and procurement teams.
• Collaborate with various procurement stakeholders to integrate analytics into everyday procurement activities and decision-making processes.
• Collaborate with the Analytics & Reporting team and Tech & Systems teams to oversee the development of analytics capability and industrialization across procurement on enterprise approved platforms.
• Oversee and maintain the governance of advanced analytics processes, documenting lineage and transformation of data products.
• Asses and report on the performance of analytics initiatives continually, driving improvements and ensuring they adapt to changing business needs.
• Keep pace with advancing data science applications & methods and collaborate with Tech and Systems teams to operationalize solutions enhancing analytical capabilities.
• Manage and guide a team of employees, fostering a culture of innovative problem solving and continuous improvement. Build and maintain the teams capabilities to effectively execute analytics strategy, ensuring team members possess the necessary skills and tools to excel in their roles.

#LI-AL1

• Bachelors degree in Business, Statistics, Mathematics, or other quantitative field. Masters degree preferred.
• Minimum of 10 years of experience in Health Care, Marketing, Manufacturing, Procurement, Supply Chain, or related business or operations function.
• Experience leading cross-functional initiatives and managing senior internal business and functional leaders.
• Experience in a strategic role assessing digital readiness and developing personas, use cases, and roadmaps.
• Expertise across advanced computations and statistical models (logistic, probabilistic, time-series regression models, Monte Carlo simulations, neural networks, complex machine learning models) and analytical tools (Python, R, Dataiku, SAS, SPSS, Power BI).
• Strong analytical, problem-solving, and leadership skills.
• Knowledge of the pharmaceutical industry is preferred.

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state orlocal law:

• The compensation range described below is the range of possible base pay compensation that the Companybelieves ingood faith it will pay for this role at the timeof this posting based on the job grade for this position.Individualcompensation paid within this range will depend on many factors including geographic location, andwemay ultimatelypay more or less than the posted range. This range may be modified in thefuture.

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick),medical/dental/visioninsurance and 401(k) to eligibleemployees.

• This job is eligible to participate in our short-term incentiveprograms.

• This job is eligible to participate in our long-term incentiveprograms

Note: No amount of payis considered to bewages or compensation until such amount is earned, vested, anddeterminable.The amount and availability of any bonus,commission, incentive, benefits, or any other form ofcompensation and benefitsthat are allocable to a particular employee remains in the Company's sole andabsolutediscretion unless and until paid andmay be modified at the Companys sole and absolute discretion, consistent withapplicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives, serving our community and embracing diversity and inclusion. It is AbbVies policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status.

US & Puerto Rico only - to learn more, visithttps://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

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https://www.abbvie.com/join-us/reasonable-accommodations.html