Senior Specialist, Data Strategy & Innovation
- Merck Sharp
- 3 - 7 years
- Hyderabad
- 3 months ago
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Job Description
The incumbent is responsible for supporting Human Health (HH) in having an industry-leading strategy and approach to sourcing & creating commercial data assets to inform business critical decisions and actions. Under direction of the Data Strategy & Innovation Leader, the incumbent will be assigned to implement the HH data asset strategy & innovation agenda, as assigned, within the Pharma space
Job Responsibilities:
Actively maintains a comprehension of the HH commercial data landscape, including assigned 1st, 2nd, and 3rd party data assets, spanning HCP, consumer, payer, patient, account, etc. Maintains a working knowledge of the use cases and value associated with each data asset.
- Scan the external environment for new valuable data assets.
- Conducts data needs assessments in assigned areas using input from key analytics and business stakeholders, identifies gaps in current data strategy versus ideal state & prioritizes identified gaps.
- For assigned areas, executes plans to fill prioritized gaps, including acquisition of new assets from external sources, or identifying partners to create needed assets, or enacting internal initiatives such as gathering new 1st party assets.
- Partners with internal team to ingest/review external data sources for use by the analytic teams
- Conducts assigned data innovation diagnostics including data quality assessments, fit-for purpose analyses, and proof-of-concept use case tests.
- Works in close association with the data management teams to ensure appropriate implementation and value realization.
- Accountable for forming and maintaining productive working partnerships with assigned data providers.
- Creates an environment of high-performance partnership by actively participating on strong cross-functional teams
Qualifications:
- 8+ years of total experience, 5+ years of experience in pharmaceutical product commercialization and analytics, with strong focus on the US market
- Prior experience in pharma data strategy space in leading and managing the discussions with stakeholders, consumers and data providers
- Strong business acumen with a keen ability to comprehend how data (HCP, consumer, payer, patient, account, engagement, etc.) can be leveraged to inform critical commercial decisions and actions.
- Ability to analyze and assess the commercial value of data assets.
- Strong business acumen necessary to appreciate business stakeholders (marketing, sales, account management, operations, etc..) needs.
- Excellent interpersonal and communication skills, with the ability to quickly establish productive working relationships with a variety of stakeholders
- Academic curiosity and ability to identify innovative approaches to addressing data needs.
- Effective presentation, analytics and communication skills, both written and oral, are to synthesize key issues and convey/persuade constituencies towards specific actions and initiatives.
- Ability to attain trusted advisor status with key stakeholders and business clients.
- Ability to operate in dynamic, transforming environment.
Knowledge & Education:
- Bachelor of Science (or equivalent) in Data Science, Computer Science, Management Information Systems, IT, MBA, or an equivalent scientific/commercial discipline
- Knowledge in analyzing healthcare administrative data, electronic health records, and/or disease/patient registries for relevant quantitative and qualitative research.
Preferred:
- MS (or equivalent) in Data Science, Computer Science, Management Information Systems, IT, MBA, or an equivalent scientific/commercial discipline
Job Classification
Industry: Pharmaceutical & Life SciencesFunctional Area / Department: Data Science & Analytics, Role Category: Business Intelligence & AnalyticsRole: Analytics ConsultantEmployement Type: Full timeContact Details:
Company: Merck SharpLocation(s): Hyderabad+ View Contact
Keyskills: Relationship management Administration Data management Data modeling Pharma Healthcare Account management Data quality Business intelligence
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