Janssen Pharmaceuticals, a member of Johnson & Johnson’s family of companies is recruiting for a Senior Manager, Data Engineering to be located in Titusville, NJ.
At the Janssen Pharmaceutical Companies of Johnson & Johnson, we are working to create a world without disease. Transforming lives by finding new and better ways to prevent, intercept, treat and cure disease inspires us. We bring together the best minds and pursue the most promising science. We are Janssen. We collaborate with the world for the health of everyone in it. Learn more at www.janssen.com and follow us @JanssenGlobal.
The Senior Manager, Data Engineering, will lead the expansion of the Commercial Effectiveness (CE) group’s Analytics Data Workbench, and the development of data engineering to support machine learning and data science teams. She/he will drive the forward-looking vision for Janssen’s cloud-based analytics strategy, leading the deployment and support of Janssen’s leading-edge technology to advance CE data sciences and enabling the data engineering capabilities. She/he will work closely with the data operations teams who actively manage the day-to-day operations of the Commercial Data Platform (CDP) environment, to enable the data acquisition, wrangling, and data pipelines that will support the prioritization of analytics and data science projects across Janssen’s NA therapeutic areas.
The Senior Manager will act as the primary contact for the Analytics Workbench across the CE organization, internal IT, and software partners, providing regular communications on the progress of Analytics Workbench enablement and operations. She/he will be responsible for a team of external data engineers that works in a cross-functional team delivering advanced analytics solution. The Senior Manager will evaluate new tools and technologies to further enable the Analytics Workbench for our Commercial Organization.
Primary Responsibilities Include:
Manage the data engineering track for the Data Strategy and Management group. Assist senior leadership team in evolving and executing the data strategy for the CE analytics and data sciences team:
Enablement of Analytics Data Workbench for data machine learning algorithms
Supplying of raw and curated and processed data for machine learning engineers and data scientists
Work on rapid prototyping applying innovative data engineering and cloud based capabilities to address sales & marketing business use cases
Work on the build and deployment of data pipelines on top of our CDP platform in production and supporting these pipelines on with continuous improvement mindset
Make recommendations on value and efficiency of new capabilities and technologies in order to advance adoption of data sciences and engineering capabilities across Commercial Pharma
Act as a change agent for making advance analytics capabilities more pervasive across the organization by creating demo capabilities working with internal teams and external partners.
Collaborate with data stewards on data on boarding and data validation activities for advanced analytics and data science systems:
Perform impact analysis of data events/changes on data science operations and engage business process owners to align on the action plan/next steps
Evaluate new data sources to determine benefits in terms of business insights for increase sales
Make recommendations on improvement of data acquisitions and data processing operations
A minimum of a bachelor’s degree is required.
A minimum of 7 years’ experience in the healthcare/ Life sciences field is required
Strong Business and Data Analysis skills with focus on pharmaceutical commercial operations across one or more relevant therapeutic areas.
Cutting-edge expertise on cloud-based technologies supporting big data management, modern data pipelines, and integrated real-time analytics is required
Strong cloud-centric technical and big data toolkit (Spark and Redshift) is required
Experience with building and supporting data and ETL pipelines in Cloud
Strong understanding of data lifecycle, data quality, metadata and data management
Ability to work with agile prototyping teams as well as manage projects independently
Strong communication skills especially while dealing with diverse functional groups
Proven analytical and problem-solving abilities
Understanding of Machine Learning Algorithms in Sales & Marketing space
Experience in working in DevOps mode for analytics solutions in Cloud environment
Expert Knowledge in Python/SPARK/EMR/Glue/RedShift technologies
Knowledge of data querying/data analysis BI tools (Tableau, QlikSense, Dataiku)
Knowledge of data management related SoPs and workflows
Knowledge of data governance best practices
Knowledge of Commercial Life Sciences data sets (NPP, DDD, Xponent, Plantrak, SPP)
Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
United States-New Jersey-Titusville-
Janssen Pharmaceuticals, Inc. (6062)