Manager, Machine Learning & Data Engineering – Omnichannel

R&D       ·        Titusville, NJ         ·         Full time

Job Title: Manager, Machine Learning & Data Engineering – Omnichannel
Function: R&D
Sub Function: Digital Product Development
Location: Titusville, New Jersey, United States
Date Posted: Jan 24 2023
Requisition Number: 2306102948W

Description

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.

Qualifications

• 5+ years of experience in building ML & data engineering pipelines in Cloud to support ML projects using PySpark and Python required.
• 5+ years of experience in machine learning design & implementation, data analysis, data access, and data storage techniques in Cloud environment required.
• 5+ years of experience in Python, SPARK, EMR, EC2, and RedShift technologies required.
• 3+ years of experience in collaborative data science platform like Dataiku preferred.
• Knowledge of Pharmaceutical commercial and channel Sciences data sets (LAAD, Speaker Program, Channel – Email, Non-Promotional Personal, CRM, Social Media, Doximity) preferred. 
• Knowledge of Commercial Life Sciences data sets (NPP, DDD, Xponent, Plantrak, SPP) preferred.
• Experience in working in DevOps mode for data science and data engineering solutions required.
• Good understanding of Machine Learning algorithms in Sales & Marketing space required.
• A minimum of 5 years’ experience in the healthcare/ Life sciences field is preferred.
• Strong business and data analysis skills with focus on pharmaceutical commercial operations preferred.
• Familiarity with how data scientists work and how DS/ML solutions can/should be scaled in production required.
• Good track record of translating business requirements into technical designs for new technology solutions required.
• Ability to provide data pipelines implementation guidance based on best practices throughout the life cycle of the project required.
• Understand the value of collaboration within teams, are excellent communicators, and can build relationships with a diverse set of stakeholders required.
• Demonstrated good leadership capabilities through technology solution ownership and adoption required.
• Demonstrated technical innovation and experimentation of the emergent solutions in alignment with project roadmap required.
• Diversity of experience is preferred, with demonstrated learning agility to be able to move across different types of therapeutic areas such as Cardiovascular/Immunology/Neuro-Science/Rare Diseases.
• The anticipated base pay range for this position is $111,000 to $190,050.

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.

At Johnson & Johnson, we’re on a mission to change the trajectory of health for humanity. That starts by creating the world’s healthiest workforce. Through cutting-edge programs and policies, we empower the physical, mental, emotional, and financial health of our employees and the ones they love. As such, candidates offered employment must show proof of COVID-19 vaccination or secure an approved accommodation prior to the commencement of employment to support the well-being of our employees, their families and the communities in which we live and work.

For more information on how we support the whole health of our employees throughout their wellness, career and life journey, please visit  www.careers.jnj.com

Please click here to apply.