Data Management, Manager

Scorpion Therapeutics; Thousand Oaks (CA); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Comprehensive employee benefits package

Discretionary annual bonus program

Flexible work models

Job summary

Initial Therapeutics, Inc. is seeking a Data Management Manager to oversee the U.S. commercial Data Lake, managing operations for data quality and governance across two therapeutic areas. The role requires at least 2 years' experience in pharmaceutical data analytics and a Master's degree in a relevant field.

The position offers a comprehensive benefits package, including retirement plans, stock incentives, and flexible working models, including telecommuting options.

Qualifications

• Master's degree in Engineering Management, Data Science, or related field, with at least 2 years of relevant experience.
• Experience with commercial data and analytics in pharmaceuticals, including patient-level datasets.
• Proficiency in SQL, Python, and experience with large-scale relational datasets.

Responsibilities

• Lead the U.S. commercial Data Lake operations.
• Oversee onboarding and setup of new data sources.
• Develop analytics applications collaborating with software engineers.
• Build data pipelines using programming languages such as Python and SQL.

Skills

Data governance

Data quality

SQL

Python

Data visualization

Business intelligence

Machine learning

Data integration

Education

Master’s degree in Engineering Management, Data Science, or related field

Tools

AWS

Databricks

Tableau

Microsoft Power BI

Informatica

Job description

Data Management Manager

The Data Management Manager will be responsible for operating, enhancing, and governing the U.S. commercial Data Lake to enable data‑driven decisions across two therapeutic areas.

Responsibilities

• Lead the U.S. commercial Data Lake as business owner for two therapeutic areas, overseeing platform operations including data governance, data quality, hygiene, and administration to support data‑driven decision making.
• Oversee onboarding and setup of new data sources and datasets for analytics, reporting, incentive compensation, and new product launches.
• Serve as product owner for platform enhancement requests from cross‑functional stakeholders (analytics teams, data sciences, forecasting, field force effectiveness), leading prioritization and end‑to‑end implementation.
• Develop data services capabilities, integrating data from internal and external sources, and enable data science, artificial intelligence, and machine‑learning capabilities to provide insights and solve business problems.
• Develop analytics applications and collaborate with software engineers to build data processing pipelines using AWS and Databricks technologies.
• Build pipelines using programming languages such as Python, R, or SQL.
• Collaborate with data architects, business SMEs, and data scientists to innovate and optimize the data ecosystem, enhancing customer support and scaling architecture for future growth while piloting new tools and techniques.
• Lead and implement new data platform capabilities through proof‑of‑concept initiatives and technology evaluations to streamline processes, automate and optimize data pipelines, improving data quality and accelerating data availability.
• Review use cases, requirements, and technical designs to identify risks, and write technical specifications, flow charts, and architectural diagrams for solutions.
• May telecommute.

Requirements

1. Master’s degree (or foreign equivalent) in Engineering Management, Data Science, or a related field, and at least 2 years of experience in the role offered or in a data management related occupation.
2. Minimum 2 years of experience with commercial data and analytics in the pharmaceutical domain, including patient‑level datasets, sales datasets (XPO, DDD, chargebacks, prescription, demand), OneKey demographics, claims datasets (IQVIA), and speaker programs.
3. Experience in data engineering, ingestion, integration, prototyping, and reporting using SQL, Python, and Informatica for supporting product launches by onboarding and preparing datasets.
4. Experience analyzing large‑scale relational datasets in Oracle, MySQL, and PostgreSQL, and performing data extraction and manipulation using Databricks and Redshift.
5. Proficiency in business intelligence and advanced visualization platforms such as Tableau and Microsoft Power BI to develop interactive dashboards and generate strategic insights for commercial sales, forecasting, or marketing teams.
6. Experience with robotic process automation and workflow automation, including evaluation or implementation of solutions using UiPath, Blue Prism, and SharePoint workflows to streamline manual data tasks and reduce errors in regulated healthcare settings.
7. Experience with master data management (MDM), implementing and supporting MDM processes in the pharmaceutical industry, including mastering prescribers, payers, products, and PBMs.

Benefits

• A comprehensive employee benefits package, including a retirement and savings plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts.
• A discretionary annual bonus program, and for field sales representatives, a sales‑based incentive plan.
• Stock‑based long‑term incentives.
• Award‑winning time‑off plans.
• Flexible work models, including remote and hybrid work arrangements where possible.

Amgen is an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.