Data Product Manager

Description

Data Product Manager

Syneos Health® is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to address modern market realities.

Every day we perform better because of how we work together, as one team, each the best at what we do. We bring a wide range of talented experts together across a wide range of business-critical services that support our business. Every role within Corporate is vital to furthering our vision of Shortening the Distance from Lab to Life®.

Discover what our 29,000 employees, across 110 countries already know: WORK HERE MATTERS EVERYWHERE

Why Syneos Health

• We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program.
• We are committed to our Total Self culture – where you can authentically be yourself. Our Total Self culture is what unites us globally, and we are dedicated to taking care of our people. 
• We are continuously building the company we all want to work for and our customers want to work with. Why? Because when we bring together diversity of thoughts, backgrounds, cultures, and perspectives – we’re able to create a place where everyone feels like they belong. 

JOB SUMMARY

Data Product Manager will lead development of data products that will power predictive models, data offerings, APIs, and software solutions at a global Contract Research Organization.JOB RESPONSIBILITIES

• Product Leadership. Lead the end-to-end development of a portfolio of data products, from ideation to deployment to maintenance and continuous improvement through acquisition of data from internal and external sources, ML modeling, transformation, and other activities.
• Requirements Gathering. Collaborate with users, application design teams, data scientists, data engineers, and other stakeholders to gather, define, and document precise requirements and specifications for the data products.
• Roadmap Management. Link business priorities to source data needs and communicate cross-functionally.Create and manage the data product roadmap, establishing clear timelines for development, release, and iterative enhancements.
• Feature Development. Write comprehensive user stories and acceptance criteria. Prioritize feature development. Collaborate with engineers to design data models that support the product’s objectives. Collaborate with data scientists to define model outputs.
• Data Acquisition & Integration. Collaborate with internal data science teams, data engineering teams, and external data providers to ensure efficient data generation, acquisition and integration. Maintain and cultivate cross-functional awareness of planned and unplanned changes to dependent services.
• Regulatory Compliance. Ensure that requirements for data products are in compliance with relevant regulations and internal governance processes.Conduct privacy impact assessments and maintain all relevant documentation. Collaborate with compliance and legal teams.
• Quality Assurance. Establish quality, reliability, and governance standards. Develop and monitor key quality metrics. Review test scripts and test evidence to ensure product integrity.
• Documentation. Maintain data product documentation that is relevant to technical and nontechnical audiences.Detailed technical documentation includesfeature specifications, architecture outlines, data models, workflow processes, implementation guides, release notes, etc.Nontechnical documentation includes business purpose of the data product, examples of how the data product generates value, summary statistics of the data product’s content, etc.
• Access Management. Manage appropriate access to data products for the stakeholders including data science teams, engineering teams, and business users.
• Domain knowledge. Maintain fluence of internal data products

Qualifications

What we’re looking for

• Proven experience in managing complex data products, preferably in clinical research or pharmaceutical environment.
• Strong understanding of data management, analytics, and technical aspects of data products.
• Experience architecting logical, physical, and consumption models for use in analytics and applications is preferred.This may include secure APIs, SQL-based consumption, file-based consumption, etc.
• Proficiency in SQL for data querying and analysis. Experience with Python programming preferred.
• Familiarity with clinical trial processes, business aspects, and regulatory compliance in the life sciences industry.
• Familiarity with machine learning algorithms and their dependencies and applications in data products.
• Proven experience conducting business and/or data analysis to elicit business requirements for software applications and/or analytics that drive business decisions.
• Strong self-starter and leadership qualities with communication and project management skills.
• A degree in Computer Science, Data Science, Healthcare Informatics, or a related field
• Experience or strong willingness to adapt to working with global and remote teams with large numbers of stakeholders.
• Familiarity with modern approaches to data management, including data mesh, data fabric, master data management, reference data management, governance, data catalogs

Get to know Syneos HealthOver the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients.

No matter what your role is, you’ll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health.

Additional Information:Tasks, duties, and responsibilities as listed in this job description are not exhaustive.  The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities.  Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description.  The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above.   Further, nothing contained herein should be construed to create an employment contract.  Occasionally, required skills/experiences for jobs are expressed in brief terms.  Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees.  The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.