Associate Director, Product Line Technical Lead - US IT Data Services (Hybrid - NJ, PA or Prague)

Job Description

Our Company Information Technology organization partners with colleagues across the business to help serve our patients and customers around the world. Ours is a high energy team of dynamic, innovative individuals dedicated to advancing our company’s contribution to global medical innovation by leveraging information and technology. 

One of the key priorities for our Company is a significant focus on Data and its utilization as a Strategic asset to drive insights-driven decisions. The opportunity to accelerate our time to insights hinges on our ability to integrate, enrich and govern our disparate and evolving data sources, at speed and scale. The Human Health (HH) IT US Data Services team’s mission is to focus on driving these capabilities to increase utilization of data within the organization.

How will you invent the future? 

We have an outstanding opportunity for an enterprising data and analytics technology leader who will thrive in a dynamic environment and one who is collaborative, self-motivated, takes accountability and drives results.

Reporting to the HH IT US Data Services Product Line Leader, this role will be responsible for the technical delivery aspects of the end-to-end data capabilities and data products. The role influences and ensures timely and high-quality value delivery across all aspects of the data value chain including but not limited to a) Data Ingestion of critical organization data to support Sales, Marketing, Market Access, Patient Engagement, Strategy partnerships and Alliances b) Data Mastering, Data Governance including but not limited to Data Marketplace, Data Quality, Data Risk Management c) Value Realization with use of these Data Assets.  

This role will also have significant interaction with our partners, suppliers, and various data & technology providers, so she or he must be a strong and results driven individual.

Successful candidate will demonstrate pharmaceutical domain knowledge, enterprise-thinking, willingness to listen, ability to communicate complex technical topics in a simple language to stakeholders of varied technical proficiency, and a bias towards action.  

Primary Responsibilities:

The primary responsibilities of this position include but not limited to:

• Lead efforts to design, build, and maintain data pipeline architecture encapsulating the entire value chain from sourcing to making the data ready for stakeholders.

• Partner with Product Line leader, Product Manager(s) and other stakeholders in understanding, prioritizing, planning and implementing technical solutions that deliver desired business value.

• Serve as the single point of accountability for all technical matters within the product line.

• Coordinate execution for successful delivery across various teams and vendor partners to meet product line objectives with high quality, timeliness, and within budget / estimates while ensuring compliance with company policies.

• Contribute to developing accurate and realistic plans, resource estimates, and timelines in alignment with prioritized business requirements.

• Coach, guide, and manage a team of technical staff across product line to deliver solutions from conception to retirement, aligned with key architectural design patterns.

• Define and enforce development standards, best practices and review processes to ensure consistency of delivery quality and reusability of solution components.

• Apply risk-based decision making to complex problems and consult with relevant subject matter advisors as needed to inform the decision. Operate with Integrity and ensure adherence with organization policies, quality assurance and data protection processes.

• Conduct innovation proof of concepts and pilots to identify and onboard pertinent solutions following company policies and in partnership with other stakeholders in the organization.

• Exhibit a passion for data and eagerness to learn new technologies and trends.

Education Minimum Requirement: Bachelor's Degree required; prefer concentration in IT, Engineering or Computer Science.

Required & Preferred Experience and Skills:

• Minimum of 8 years of relevant work experience, with demonstrated expertise in the Data and Analytics space.

• Minimum of 3 years of experience as a technical leader of data product teams.

• Strong expertise in architecting and implementing data and analytics platforms and data pipelines using modern, cloud-based technologies.

• Excellent interpersonal and communication skills, with the ability to quickly establish credibility and trust with a variety of stakeholders.

Preferred Experience and Skills:

• Demonstrable knowledge of two or more technologies commonly found used Pharmaceutical commercial space - such as Veeva, Salesforce Marketing Cloud, Google Analytics – is highly preferred.

• Previous experience in Life sciences and Pharmaceutical industry and demonstrable proficiency in Life Sciences Commercial data domains.

• Prior experience in architecting and implementing performant solutions at tera-byte scale using cloud technologies.  

• Certifications in one AWS and/or Databricks is a strong plus.

• Masters Degree preferred.

#eligibleforerp

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NOTICE FOR INTERNAL APPLICANTS

In accordance with Managers' Policy - Job Posting and Employee Placement, all employees subject to this policy are required to have a minimum of twelve (12) months of service in current position prior to applying for open positions.

If you have been offered a separation benefits package, but have not yet reached your separation date and are offered a position within the salary and geographical parameters as set forth in the Summary Plan Description (SPD) of your separation package, then you are no longer eligible for your separation benefits package. To discuss in more detail, please contact your HRBP or Talent Acquisition Advisor.

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Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.

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:

$135,500.00 - $213,400.00

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

Search Firm Representatives Please Read Carefully 
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. 

Employee Status:

Regular

Relocation:

Domestic

VISA Sponsorship:

Yes

Travel Requirements:

10%

Flexible Work Arrangements:

Hybrid

Shift:

Not Indicated

Valid Driving License:

No

Hazardous Material(s):

N/A

Required Skills:

Database Administration, Data Engineering, Data Management, Data Modeling, Data Visualization, Design Applications, Information Management, Software Development, Software Development Life Cycle (SDLC), System Designs

Preferred Skills:

Accountability, Data Analysis, Design, Domain Knowledge, People Management, Teamwork

Job Posting End Date:

11/11/2024

*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

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