Associate Director, Machine Learning and Data Engineering

The Associate Director, Machine Learning and Data Engineering, role is responsible for understanding Janssen's commercial business objectives, developing and deploying Omnichannel data sciences & engineering use cases to support our large scale and high-performance data pipelines and machine learning models. 

The machine learning and data engineering Associate Director will collaborate with our business teams, data scientists, engineers, and operational support to understand the business requirements that drive Omnichannel, Sales operations and Marketing solutions.  As a lead for our machine learning and data engineering initiative, She/He will be involved in the machine learning model development, full feature engineering roll out and support with responsibilities for designing, configuring, implementing, and supporting leading-edge data pipelines that support key decisions and drive organizational action for our Omnichannel brands.  This will include interpreting our business use cases and mapping them to creating new algorithms and enhancing our existing models working with our advance analytics teams (business translators), data engineers, data stewards, sales optimization, and marketing teams.

The Associate Director will also be responsible for understanding Janssen's existing machine learning algorithms and data engineering pipelines, and providing suggestions to optimize the data sources, architecture, providing recommendations on software releases, automation, and performance improvement. The machine learning and data will be responsible for assisting in supporting the data engineering platform (programming product, codebase, and data processing), working closely with internal and external partners, and managing Omnichannel stakeholders' (cross functional partners, sales, marketing, and IT) expectations.  She/he will drive the forward-looking vision for Janssen’s data sciences and engineering strategy, leading the deployment and support of Janssen’s leading-edge models and pipelines to advance our data sciences, and enabling the data engineering capabilities.   The Associate Director will act as the primary contact for the Data Sciences & Engineering Omnichannel workstream across the business, internal IT, and services/software partners, providing regular communications supporting Omnichannel vision, strategy, and operations.

Key Responsibilities:

Scale up, Enhance and Support the Omnichannel machine learning & data engineering track for the Commercial Engagement & Digital Transformation group.  Assist senior leadership team in evolving and executing the data sciences & engineering strategy for the Customer Engagement and Digital Transformation team

• Understand Janssen commercial business unit’s Omnichannel data and functional requirements to scale up and support feature engineering for our Therapeutic Areas.

• Act as a subject matter expert in Data Sciences & Engineering frameworks and bring best in class, innovative ideas to develop, test, and measure performance and impact of initiatives

• Work in collaboration with business translators (advanced analytics), other data scientists and engineers to present the findings of the machine model runs and data insights to our key stakeholders (brands and leadership)

• Understand existing data science models and engineering pipelines related to Janssen’s Omnichannel brands, provide inputs and suggestions to optimize the architecture, provide recommendations on performance improvement

• Collaborate with Omnichannel Operations support lead & partners to leverage DevOps capabilities to operationalize ML models & Data Engineering Pipelines.

• 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 machine learning and advance analytics capabilities more pervasive across the organization by creating proof of concepts & demo capabilities working with internal teams and external partners

Drive the design and build of new data pipelines & feature engineering layer

• Apply explainable artificial intelligence (XAI), data engineering and feature 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 data engineers, ML experts, and stakeholders from multiple therapeutic areas to take learnings and synergies as they arise

• Lead the development and implementation of data quality framework for feature engineering working with upstream data systems

• Proactively identify new data sources that will enhance decision making & increase model accuracy

Innovation and Early Talent Development

• Work on rapid prototyping applying innovative data sciences and engineering capabilities to address sales & marketing business use cases

• Provide thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders

• Lead our early talent development program working with internal team members and university across US region to attract and hire talent in for the Janssen Commercial Unit