Description

Sr Dir, Engineering

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 Responsibilities

The Technology & Data Solutions (TDS) business unit is the Syneos Health accelerator for life sciences innovation. TDS houses advanced technology acquisitions, homegrown products and applications, actively participates in new M&A and partnership activities, delivers critical insights as part of our integrated strategy for customers, and drives enterprise-wide adoption and change management for innovative tech and data solutions.

Our work supports bringing meaningful new medicines to patients faster, with greater positive impact.

The Senior Director, Engineering (Data & Master Data Management) supports these goals by leading global engineering teams that design, build, and maintain high-quality data-centric and master data solutions addressing complex business and customer needs. This role is heavily focused on Master Data Management, data engineering, data integrity, and foundational data capabilities, while partnering closely with product and business stakeholders in a highly dynamic environment.

Core Responsibilities

• Lead and develop teams of managers and engineers across onshore and offshore locations, including line management, performance management, professional development, interviewing, and onboarding.
• Combine strong technical depth with people leadership skills to effectively lead teams of teams.
• Set clear goals aligned to business strategy and customer expectations facilitate resourcing and coordination of work across multiple initiatives.
• Lead engineering teams to deliver high-quality, scalable, and timely data and master data solutions.
• Own and prioritize the technical backlog, with a strong focus on master data, data engineering, and data quality initiatives.
• Partner closely with product management, engineering leadership, and technical leads in strategic planning and execution.
• Drive technical decision-making and work with product managers to manage backlogs supporting multiple engineering teams.
• Oversee technical architecture for master data platforms, data pipelines, analytics enablement, dashboards, and custom tools, ensuring data integrity and governance.
• Support teams in presenting findings and recommendations to internal and external stakeholders in a clear, concise, and business-relevant manner assist with client queries or escalations as needed.
• Oversee production schedules, test plans, documentation, and presentation materials that define project milestones and delivery standards.
• Mentor and coach junior team members across the organization, fostering autonomy, accountability, and strong engineering practices.
• Foster collaboration across global teams toward shared objectives and outcomes.
• Stay current with industry trends in data engineering, master data management, and life sciences data, sharing relevant insights with senior leadership.
• Communicate and collaborate effectively across internal functions to drive optimal business outcomes in a fast-paced, change-oriented environment.

Qualifications

Education

• BS/BA required MS/MA preferred in Information Systems, Computer Science, Software Engineering, Data Science, Engineering, Statistics, or a related field.

Additional Qualifications

• Proven experience in a senior engineering leadership, data engineering, or solutions architecture role delivering data-centric and master data-driven solutions.
• Strong experience with Master Data Management platforms (e.g., Reltio strongly preferred).
• Hands-on experience with modern cloud data ecosystems such as Azure, Databricks, and Snowflake.
• Strong background in data modeling, data quality, data governance, and data integrity.
• Experience leading high-performing, globally distributed teams and working across multiple stakeholders to deliver results.
• Ability to influence, align, and partner effectively with peers and senior leadership.
• Excellent verbal and written communication skills, with the ability to translate complex technical concepts into business-relevant insights.
• Experience working within life sciences, clinical research, pharma, or CRO environments is highly preferred.
• Familiarity with healthcare and clinical data domains (e.g., Rx data, medical claims, ICD, HCPCS, NPIs) is a strong plus.
• Comfortable operating in environments with evolving requirements and ambiguity, demonstrating sound judgment and adaptability.

Get to know Syneos Health

Over 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.

Summary

The Technology & Data Solutions (TDS) business unit is the Syneos Health accelerator for life sciences innovation. TDS houses advanced technology acquisitions, homegrown products and applications, actively participates in new M&A and partnership activities, delivers critical insights as part of our integrated strategy for customers, and drives enterprise-wide adoption and change management for innovative tech and data solutions. Our work supports bringing meaningful new medicines to patients faster, with greater positive impact. The Senior Director, Engineering (Data & Master Data Management) supports these goals by leading global engineering teams that design, build, and maintain high-quality data-centric and master data solutions addressing complex business and customer needs. This role is heavily focused on Master Data Management, data engineering, data integrity, and foundational data capabilities, while partnering closely with product and business stakeholders in a highly dynamic environment.