MANAGER DS SOLUTIONS MGMT AND PIPELINE

Johnson & Johnson is currently seeking a Manager, Data Science Solutions Management & Pipeline to join our Data Science and Digital Health function Innovative Medicine Research & Development located in Hyderabad/ Bangalore, India.
Remote work may be considered case-by-case and if approved by the Company.
At Johnson & Johnson, we believe health is everything.
Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal.
Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.
Learn more at https://www.
nj.
om/ In this role, the candidate will lead a solution-oriented team with a diverse set of talents.
This team is designed to work cross-functionally, partnering with persons / groups not limited to J&J IM scientists, technology, finance, security, privacy, compliance, procurement and legal to enable solutions and processes that drive decision making.
With a focus on enabling data science solutions, integrating solutions into business processes and curating / analyzing / transforming data, this team needs to be able to architect, engineer and deploy solutions for / across the R&D DSDH community.
Consideration should also be given to user engagement, training and long-term cost-benefit analysis.
Responsibilities.
Recruit, develop and retain talent Provide direction, mentorship, and coaching to a team of data analysts, data managers, data curators and visualization specialists, fostering an environment of collaboration, innovation, and professional growth Build and maintain relationships with key stakeholders, ensuring that data products and solutions meet their needs while also advancing organizational goals.
Apply the knowledge of pharmaceutical R&D processes to develop innovative solutions and products Ability to lead the team to develop and implement high quality data products, analysis ready data sets and apply human centered design to turn data into insights.
Collaborate with stakeholders to gather user requirements and understand business needs.
Design and implement processes that streamline data decision making.
Design wireframes taking a user-centric approach to build intuitive products and iterate quickly to land on an efficient design.
Review data products with stakeholders to ensure accuracy and alignment with the desired outcomes Incorporate feedback and suggest improvements to enhance the usability and effectiveness of solutions.
Manage multiple priorities simultaneously and consistently deliver high-quality work within established timelines.
Set clear expectations with stakeholders regarding deliverables and project timelines.
Stay up-to-date with the latest data management and analysis techniques and industry trends.
Proactively identify opportunities to leverage data visualizations for improved decision-making.
Qualifications Education.
A minimum of a Bachelor’s degree is required with 6 - 8 years of experience working in pharmaceutical, healthcare or relevant industry.
Additional consideration given to applicants with advanced degrees.
Requirements.
Knowledge and experience with pharmaceutical R&D, clinical development and / or data operations Prior experience in working with clinical trial, real world (electronic health records, claims, survey), translational and / or digital health data required.
Experience with SQL, R, Python, and/or other programming languages Experience leading global teams Comfortable working with stakeholders to gather user requirements and incorporate feedback.
Capable of focusing and prioritizing tasks across multiple stakeholder groups Excellent communication and presentation skills.
Attention to detail and ability to ensure accuracy in data visualizations.
Preferred.
Comfortable learning new technologies Experience working within cloud-based service offerings Familiarity with Natural Language Processing (NLP) techniques, Large Language Model (LLM) applications, and generative AI technologies