Lead Data Architect – Data Solutions

Job Description

Lead Data Architect – Data Solutions

We are seeking a talented, motivated and self-driven professional to join the HH Digital, Data & Analytics (HHDDA) organization and play an active role in Human Health transformation journey to become the premier “Data First” commercial biopharma organization.

As a Lead Data Architect, you will be part of the HHDDA Commercial Data Solutions team, providing technical/data expertise development of analytical data products and is responsible for understanding business challenges will play a crucial part in designing and optimizing conceptual, logical, scalable database models. This position will be responsible for a broad range of activities, include analyzing system requirements, implementing data migration strategies, and ensuring the efficient and secure storage of organization’s information. This individual is expected to be collaborative and a strong team player, interacting with multiple internal and external groups, to influence decision-making for the teams they support, while working closely with the team.

This is an exceptional opportunity to contribute to the development of our data architecture and make a significant impact on the success of our organization.

Your specific responsibilities will include:

In collaboration with the Product Owner and Lead Engineer, the Data Architect will manage the following:

• ·Understand business use cases – solutions, challenge and prioritize data requirements, discuss and lead product scaling and flexibility

• Design advanced conceptual, logical and physical data organizations, data models, repository, dashboards, reports within a complete functional and technical architecture

• Partners with other enterprise architects, infrastructure, and software experts to define metadata layers, technical strategy, and optimal integration within existing landscape Translate to technical designers or developers designed solution, review proposed solution, and optimize it when required

• Coordinate with the relevant teams to identify future needs and requirements pertaining to data and design

• Ensure business access to adequate, understandable, accurate data

• Design, develop and continuously improve supporting activities (automation of versioning and release management, scheduling, security models, impact assessment of new changes …)

• ·Manage the end to end architecture for the whole life cycle of the domain and solution product

Education:

• B.Tech / B.S., M.Tech / M.S. or PhD in Engineering, Computer Science, Engineering, Pharmaceuticals, Healthcare, Data Science, Business, or related field.

Required experience: 

• 10+ years of relevant work experience in the pharmaceutical/life sciences industry, with demonstrated hands-on experience in analyzing, modeling and extracting insights from commercial/marketing analytics datasets (specifically, real-world datasets)
• Experience in working closely with all business lines to identify business needs and analytics opportunities
• High proficiency in SQL, Python and AWS
• Experience creating / adopting data models to meet requirements from Marketing, Data Science, Visualization stakeholders
• Experience with including feature engineering
• Experience with cloud-based (AWS / GCP / Azure) data management platforms and typical storage/compute services (Databricks, Snowflake, Redshift, etc.)
• Experience with creating models modern data stack tools such as Matillion, Starburst, ThoughtSpot and low-code tools (e.g. Dataiku)
• Excellent interpersonal and communication skills, with the ability to quickly establish productive working relationships with a variety of stakeholders
• Experience in analytics use cases of pharmaceutical products and vaccines
• Experience in market analytics and related use cases

Preferred Experience:

• Experience in analytics use cases focused on informing marketing strategies and commercial execution of pharmaceutical products and vaccines
• Experience with Agile ways of working, leading or working as part of scrum teams
• Certifications in AWS and/or modern data technologies
• Knowledge of the commercial/marketing analytics data landscape and key data sources/vendors
• Experience in building data models for data science and visualization/reporting products, in collaboration with data scientists, report developers and business stakeholders
• Experience with data visualization technologies (e.g, PowerBI)

Our Human Health Division maintains a “patient first, profits later” ideology. The organization is comprised of sales, marketing, market access, digital analytics and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide.  

We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace.

Current Employees apply HERE

Current Contingent Workers apply HERE

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:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:

Hybrid

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 Project Management

Preferred Skills:

Job Posting End Date:

10/7/2024

*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.