MSD Lead Data Architect - Solutions 

India, Maharashtra 

363701226

Job Description

Lead Data Architect

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 andis 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.

Your specific responsibilities will include:

• ·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 landscapeTranslate 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 andvisualization/reportingproducts, in collaboration with data scientists, report developers and business stakeholders
• Experience with data visualization technologies (e.g, PowerBI)

Current Contingent Workers apply

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