Senior Director, Engineering
Syneos Health
full-time
Posted on:
Location Type: Hybrid
Location: Hyderabad • India
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Job Level
About the role
- 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.
Requirements
- BS/BA required; MS/MA preferred in Information Systems, Computer Science, Software Engineering, Data Science, Engineering, Statistics, or a related field.
- 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.
Benefits
- career development and progression
- supportive and engaged line management
- technical and therapeutic area training
- peer recognition and total rewards program
- Total Self culture
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringmaster data managementdata modelingdata qualitydata governancedata integritycloud data ecosystemsAzureDatabricksSnowflake
Soft skills
people leadershipperformance managementmentoringcoachingcommunicationcollaborationinfluencingalignmentautonomyaccountability