Director, IT - Enterprise Data Architecture

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

THE POSITION:

The Director, IT – Enterprise Data Architecture will be a hands on leader responsible for defining and evolving the enterprise data architecture strategy and roadmap for enterprise Modern Data Platform at Eversana. You will bring your experience in blending legacy data systems with modern data architecture to build a robust and scalable enterprise data platform to support operational and analytical needs, build modular, scalable data products and data contracts to improve data quality. You will bring extensive data engineering and data architecture experience to the team.

ESSENTIAL DUTIES AND RESPONSIBILITIES:
Our employees are tasked with delivering excellent business results through the efforts of their teams.  These results are achieved by:

• Lead and mentor a team of architects and implement data architecture best practices and fostering innovation and continuous improvement
• Define and manage the Enterprise data architecture model, including product operating model and maturing IT operating model
• Develop the Modern Data Platform strategy, architecture and roadmap that aligns with IT and Business strategy
• Design and implement highly scalable, secure, and performant data architectures and data pipelines leveraging cloud technologies and modern data frameworks.
• Design data products, data contracts and data monitoring solutions at the enterprise level
• Partner with the enterprise data leadership team to develop and implement the Enterprise Data Strategy and roadmap
• Define, document and execute processes required to ensure compliance with data policies, standards, procedures and patterns.
• Ensure consistent design documentations and artifacts for tracking
• Work with cross functional stakeholders and external customers to translate business objectives into technical solutions, with supporting implementation artifacts, and work with data Delivery team on a flawless implementation
• Stay abreast on emerging technologies and provide recommendations to advance our portfolio of data-driven capabilities, optimize for cost efficiency, and improve automation
• Create a workflow for Data Ops and support framework on the entire data flow management proceed
• All other duties as assigned

Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of this position.

EXPECTIONS OF THE JOB:

• Enjoys working on multiple projects at a time 
• Be able to communicate at all levels of the organization
• Continuous learner and Team player 
• Strong communicator at all levels of the organization and to clients and partners
• Travel (10%)

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.

• BS in Computer Science in Data Engineering
• 15+ years enterprise data architecture/engineering experience including at least 5 years of modern data architecture