Job Description
Primary Responsibilities
- Drive product design and ensure consistent execution of product lifecycle processes from concept to launch, ensuring user-centric solutions
- Define and monitor Product Success metrics and criteria at incremental product development phases, and product adoption
- Facilitate cross-functional collaboration with engineering, marketing, and sales teams to align on product goals and roadmap planning for automation/improvements as per business needs
- Effectively communicate progress, challenges, learning and success stories to key stakeholders
- Lead creation of comprehensive playbook and training material to standardize and share SOPs with product development and other analytics teams
- Gather user feedback to refine product features. Evaluate technical feasibility of new product features and enhancements. Ensure smooth handoff of product requirements to development teams
- Lead creation of benchmark techniques being deployed across multiple product development strategies
- Identify cutting-edge trends and best practices in the market to improve product positioning
Qualifications
Education & Work Experience Requirements:
- Bachelor’s degree (in Engineering or related field, such as Computer Science, Data Science, Statistics, Business, etc.) with at least 6+ years relevant experience
- Master’s degree (relevant field like Computer Science, Economics, Statistics, Mathematics, Operational Research) with 4+ years work experience
- 2+ Years of Product management or Software development experience
Skillset:
Candidates must have -
- Strong proficiency in Python, SQL, and cloud-based environments (AWS, GCP, or Azure) is a must. Experience with APIs, microservices, and DevOps practices is a plus
- Experience in Software Development and Engineering, and Analytics Delivery
- Expertise in developing scalable, secure, and modular product architectures
- Proficiency in designing & implementing data structure, pipeline & architecture
- Hands-on experience with product roadmaps, Agile methodologies and backlog management, ensuring iterative and incremental product improvements
- Strong problem solving, critical thinking, business analysis and quantitative skills
- Story Boarding - Ability to effectively communicate proposals to key stakeholders
- Understanding of end-to-end Pharma commercial landscape
- Understanding of analytics tools like Tableau, PowerBI, Dataiku etc
Candidates are desired but not mandatory to have -
- Experience with data science principles, machine learning (supervised and unsupervised) and GenAI algorithms, test-control analysis, A/B testing, propensity score matching etc.
- Experience working with healthcare, financial, or enterprise SaaS products
- Experience with Marketing Mix Modeling and optimization with underlying concepts such as ad-stock, decay, interaction and halo effects etc.
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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.
Employee Status:
Regular
Relocation:
VISA Sponsorship:
Travel Requirements:
Flexible Work Arrangements:
Not Applicable
Shift:
Valid Driving License:
Hazardous Material(s):
Required Skills:
Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model
Preferred Skills:
Job Posting End Date:
04/30/2025
- 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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