Company Description

At EVERSANA, we are proud to be certified as a Great Place to Work across the globe. We’re fueled by our vision to create a healthier world. How? Our global team of more than 7,000 employees is committed to creating and delivering next-generation commercialization services to the life sciences industry. We are grounded in our cultural beliefs and serve more than 650 clients ranging from innovative biotech start-ups to established pharmaceutical companies. Our products, services and solutions help bring innovative therapies to market and support the patients who depend on them. Our jobs, skills and talents are unique, but together we make an impact every day. Join us!

Across our growing organization, we embrace diversity in backgrounds and experiences. Improving patient lives around the world is a priority, and we need people from all backgrounds and swaths of life to help build the future of the healthcare and the life sciences industry. We believe our people make all the difference in cultivating an inclusive culture that embraces our cultural beliefs. We are deliberate and self-reflective about the kind of team and culture we are building. We look for team members that are not only strong in their own aptitudes but also who care deeply about EVERSANA, our people, clients and most importantly, the patients we serve. We are EVERSANA.

Job Description

Position Overview Reporting to the VP of Product & Engineering, the Director of Engineering will lead a high-performing engineering team to design, develop, and optimize scalable data platforms and products. This role will partner closely with the VP to define and execute short- and long-term technology strategies and roadmaps that enable innovation and growth.

The ideal candidate combines exceptional leadership, technical expertise, and strategic vision with strong communication and project management skills. This individual will champion modern technologies and practices to maximize productivity and accelerate Eversana’s AI/ML-driven initiatives.

Key Responsibilities

Technology Leadership & Strategy
- Execute the product and engineering roadmap for scalable platforms and products.
- Define strategies for future development aligned with business and organizational objectives.
- Lead technology discussions with senior leadership, providing insights and recommendations for strategic decisions.
- Drive adoption of cutting-edge algorithms, machine learning techniques, and cloud-native architectures.
Product Development & Delivery
- Design and develop data-driven platforms and AI/ML products to accelerate innovation.
- Oversee requirements gathering, technical specifications, and Statements of Work (SOW).
- Ensure compliance with security and regulatory standards.
- Continuously review and improve engineering best practices and processes.
Team Leadership & Development
- Build and lead a world-class engineering team, including data engineers, software developers, full-stack developers and technical leads.
- Provide mentorship on software development lifecycle, architecture, big data analytics, AI/ML.
- Establish and track key performance metrics for the engineering group.
- Source and coordinate training to maintain technical excellence.
Cross-Functional Collaboration
- Partner with Product, Data Science, Sales, and IT to ensure alignment on priorities and deliverables.
- Act as a trusted advisor to sales leadership and product management to support strategic wins.
- Provide input on product enhancements and new development initiatives.
Operational Excellence
- Manage departmental budgets and optimize cost efficiency.
- Implement observability, incident response, and CI/CD best practices.
- Champion agile methodologies and ensure high code velocity across distributed teams.

EXPECTATIONS OF THE JOB:

Travel – 15%
Hours – 40 hours per week / Monday – Friday

The above list reflects the general details necessary to describe the expectations of the position and shall not be construed as the only expectations that may be assigned for the position.

An individual in this position must be able to successfully perform the expectations listed above.

Qualifications

MINIMUM KNOWLEDGE, SKILLS AND ABILITIES:

The requirements listed below are representative of the experience, education, knowledge, skill and/or abilities required.

Education: Bachelor’s degree in engineering, computer science, or related field
Experience and/or Training:
- 5+ years in a senior engineering leadership role (Director or equivalent).
- 10+ years building large-scale, distributed systems capable of ingesting and analyzing billions of events daily.
- 5+ years developing cloud-based solutions (SaaS, PaaS, IaaS, AIaaS).
- Proven experience implementing AI/ML solutions and statistical modeling.
- Strong background in presales/solutions engineering for enterprise customers.
- Demonstrated success in building and scaling high-performing technical teams.2-3 years in Government Pricing calculations and submissions
- Excellent communication and stakeholder management skills.
- Ability to simplify complex technical concepts for diverse audiences.
- High emotional intelligence and proven success leading remote teams.

Technology/Equipment:

Architecture Leadership
- Backend: Python (FastAPI, Flask, Django, AsyncIO), Node.js/TypeScript (React, Next.js).
- Data: PySpark, Pandas, NumPy; ETL (Airflow, dbt); distributed systems (Spark).
- Streaming: Kafka, RabbitMQ.
- Datastores: Snowflake, PostgreSQL, MySQL; Redis, MongoDB, DynamoDB; Trino/Presto; Apache Iceberg.
Cloud & Infrastructure
- Champion cloud-native designs on AWS (EC2, Lambda, ECS, S3/EFS, ELB/CloudFront, Cognito, Shield, Secrets Manager/Vault, CloudWatch/X-Ray, RDS, OpenSearch, ElastiCache, SQS/SES, Bedrock).
- Experience with Azure and GCP ecosystems.
DevOps & Observability
- Containerization/orchestration: Docker, Kubernetes, Helm.
- CI/CD: ArgoCD, Jenkins, GitHub Actions.
- Observability: Prometheus, Grafana, Loki, Jaeger, OpenTelemetry.
Additional Skills
- Distributed system design and trade-offs.
- Big data technologies (Spark), scientific computing.
- AI/ML development and deployment.
- Data modeling, Data governance
- Web performance optimization and mitigation strategies.

PREFERRED QUALIFICATIONS:

Education: Master’s degree in engineering, Technology, or Computer Science 
Experience and/or Training:
- 10–15 years of relevant industry experience in healthcare, pharmaceutical consulting, or enterprise data solutions.

PHYSICAL/MENTAL DEMANDS AND WORKING ENVIRONMENT:

The physical and mental requirements along with the work environment characteristics described here are representative of those an individual encounters while performing the essential functions of this position.

Office: While performing the essential functions of this job the employee is frequently required to reach, grasp, stand and/or sit for long periods of time (up to 90% of the shift), walk, talk and hear; occasionally required to lift and/or move up to 25 pounds. The noise level in the work environment is usually moderately quiet, with frequent interruptions and multiple demands.

Additional Information

OUR CULTURAL BELIEFS:

Patient Minded I act with the patient’s best interest in mind.

Client Delight I own every client experience and its impact on results.

Take Action I am empowered and hold myself accountable.

Embrace Diversity I create an environment of awareness and respect.

Grow Talent I own my development and invest in the development of others.

Win Together I passionately connect with anyone, anywhere, anytime to achieve results.

Communication Matters I speak up to create transparent, thoughtful, and timely dialogue.

Always Innovate I am bold and creative in everything I do.

Our team is aware of recent fraudulent job offers in the market, misrepresenting EVERSANA. Recruitment fraud is a sophisticated scam commonly perpetrated through online services using fake websites, unsolicited e-mails, or even text messages claiming to be a legitimate company. Some of these scams request personal information and even payment for training or job application fees. Please know EVERSANA would never require personal information nor payment of any kind during the employment process. We respect the personal rights of all candidates looking to explore careers at EVERSANA.

EVERSANA is committed to providing competitive salaries and benefits for all employees. If this job posting includes a base salary range, it represents the low and high end of the salary range for this position and is not applicable to locations outside of the U.S. Compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). More information about EVERSANA’s benefits package can be found at eversana.com/careers. EVERSANA reserves the right to modify this base salary range and benefits at any time.

From EVERSANA’s inception, Diversity, Equity & Inclusion have always been key to our success. We are an Equal Opportunity Employer, and our employees are people with different strengths, experiences, and backgrounds who share a passion for improving the lives of patients and leading innovation within the healthcare industry. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion, and many other parts of one’s identity. All of our employees’ points of view are key to our success, and inclusion is everyone's responsibility.

Consistent with the Americans with Disabilities Act (ADA) and applicable state and local laws, it is the policy of EVERSANA to provide reasonable accommodation when requested by a qualified applicant or candidate with a disability, unless such accommodation would cause an undue hardship for EVERSANA. The policy regarding requests for reasonable accommodations applies to all aspects of the hiring process. If reasonable accommodation is needed to participate in the interview and hiring process, please contact us at [email protected].

EVERSANA

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