Job Description

Associate Director, Forecasting Product Success will work within the Human Health Digital, Data, and Analytics (HHDDA) division where we are realizing the vision of a cohesive commercial decision support product suite, helping stakeholders make data-driven decisions to optimize delivery of our medicines to patients.  This role will contribute to the development and activation of our advanced internal forecasting products.

The successful candidate will work with the product management and product delivery teams to build relationships with our internal customers, train our activation teams in optimal product uses for their business objectives, measure product success and impact, and become expert in our customer’s needs to act as their voice in our product development.

The preferred candidate will have an entrepreneurial spirit, understanding of healthcare & technology, and experience with product development. The candidate will have demonstrated strong leadership skills, an ability to work independently and deal well with ambiguity, and strong collaboration and communication skills. The candidate will empower a growth mindset and inspire a culture of continual learning.

Primary Activities

• Embedding with our forecasting colleagues to deeply understand their business problems and help them configure our product to meet their needs

• Collaborating with forecasting leaders to understand their future solution needs and ensure the forecasting product is evolving to meet them

• Co-developing training and marketing materials to help users around the world use our products effectively

• Acting as a voice of customer for our product management and development teams, helping to propose, prioritize, and evaluate new product features

• Developing and executing quality assurance plans to ensure the configured product meets business needs

• Working with stakeholders in a consultative and responsive manner, to deliver high-quality and high-impact analytical and forecasting solutions

Skills and Experience

• Advanced degree (MS or Ph.D.) in Statistics, Mathematics, Computer Science, Operations Research, Economics, or similar quantitative field

• 5+ years’ experience in a lead role in predictive analytics or forecasting delivery in a pharmaceutical or life sciences space

• Applied experience related to time-series forecasting, stochastic simulation, optimization, and machine learning

• Excellent interpersonal and communications skills (both oral and written) with the ability to clearly communicate complex messages to a variety of audiences

• Ability to lead and participate in cross-functional teams effectively

• Experience designing and developing embedded reporting, dashboards, and visualizations

• Comfortable managing teams with diverse skillsets as well as relationships with internal customers (market research, marketing, etc.)

• Demonstrated competency in developing and managing complex project plans, timelines, budgets, and critical paths

Current Employees apply HERE

Current Contingent Workers apply HERE

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We are an Equal Opportunity Employer, committed to fostering an inclusive and diverse workplace.  All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status, or other applicable legally protected characteristics.  For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:
 

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U.S. Hybrid Work Model

Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”.

The Company is required to provide a reasonable estimate of the salary range for this job in certain states and cities within the United States. Final determinations with respect to salary will take into account a number of factors, which may include, but not be limited to the primary work location and the chosen candidate’s relevant skills, experience, and education.

Expected US salary range:

Available benefits include bonus eligibility, long term incentive if applicable, health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and sick days. A summary of benefits is listed here.

San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance

Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance

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Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company.  No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. 

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