Manager, Machine Learning & Data Engineering - Omnichannel

The Manager, Machine Learning & Data Engineering – Omnichannel role is responsible for understanding Janssen Pharmaceutical commercial business unit’s objectives, as well as develops and deploys Omnichannel machine learning & data engineering solutions to support our large scale and high-performance data science and machine learning initiatives within Janssen Pharmaceuticals. 

The Manager, Machine Learning & Data Engineering will work closely with internal data engineers, data scientist and data science project implementation partners for our Janssen therapeutic area’s to understand the business requirements that drive Omnichannel functional, data and technical solutions.  The Manager, Machine Learning & Data Engineering will be involved in the full technology life cycle development and support with responsibilities for designing, configuring, implementing, and supporting leading-edge ML & data engineering pipelines that supports decisions and drive organizational action for the Pharmaceutical Omnichannel brands.

The Manager, Machine Learning & Data Engineering will also be responsible for understanding Janssen’s existing therapeutic data science, data engineering pipelines and providing suggestions to optimize the architecture, providing recommendations on performance improvement. The Manager, Machine Learning & Data Engineering will be responsible for supporting the data engineering platform (infrastructure, code base and data processing) working closely with internal and external partners, managing the expectation of Omnichannel key stakeholders.  She/he will be also work closely with our customer master and sales processing team to ensure the data needs are met for the machine learning and advanced analytic teams.

Key Responsibilities: 

• Understand Janssen Pharmaceutical business units Omnichannel data and functional requirements to enable and support data engineering pipelines.
• Act as a subject matter expert in Data Engineering technologies and bring best in class, innovative ideas to develop, test and measure performance and impact of initiatives.
• Understand Janssen therapeutic area’s existing data engineering pipelines and data science models, provide inputs and suggestions to optimize architecture, provide recommendations on performance improvement.
• Apply data modeling, data engineering principles to support data science requirements and supply raw, curated and processed data for machine learning engineers and data scientists.
• Work in cross functional agile teams to continuously experiment, iterate, and deliver business goals and objectives.
• Collaborate with other engineers, ML experts, and stakeholders, taking learning and leadership opportunities that will arise every single day.
• Lead development and implementation of the pharmaceutical predictive models related data engineering framework and model tracking.
• Proactively identify new data sources that will enhance decision making & increase model accuracy.
• Foster strong partnerships in the context of resources, timing and overall franchise goals.
• Work alongside data engineers and data scientists to build scalable data engineering and data science solutions leveraging AWS platform (S3, EC2, EMR, Amazon Redshift), PySpark, Python and Dataiku.
• Assist in developing architectural models for cloud-based data engineering solutions leveraging AWS technologies and PySpark to support large scale and high-performance data science and machine learning platform.
• Work with partners to document known solutions to internal and external knowledge base.
• Bachelor’s degree in Computer Science, Computer Information Systems, Business Information Systems, or related discipline required, master’s degree preferred.