Enterprise Data Architecture Jobs (NOW HIRING)

As Director, Enterprise Data Architecture, you will lead the enterprise design, governance, and modernization of data platforms and capabilities that enable Clinisys’ digital transformation. This is a transformational leadership role, not a reactive support function. You will partner with Product, Engineering, AI, Cyber Security, and business functions to deliver integrated, end-to-end data capabilities that improve data quality, accessibility, and decision‑making outcomes.

You will be accountable for both the architecture and the realization of business outcomes enabled by data, including improved data governance, cleanliness, analytics adoption, automation, and availability. The role requires strong cross‑functional influence, ownership of enterprise data outcomes, and the ability to drive measurable improvements across the data value chain.

Building an AI‑first organization is central to Clinisys’ purpose and the impact we deliver. As a global provider of intelligent diagnostic informatics solutions, we build AI‑enabled, cloud‑based platforms to enhance diagnostic workflows across healthcare, life sciences, and public health. By applying intelligent technology thoughtfully and responsibly, we help laboratories operate more effectively and generate meaningful insights at scale.

• Lead enterprise data architecture and transformation initiatives aligned to business strategy and digital experience priorities
• Act as a transformation driver by identifying high‑impact opportunities to improve data quality, integration, and accessibility across end‑to‑end workflows
• Own the enterprise data roadmap including governance, modernization, and platform evolution with clear value realization outcomes
• Influence cross‑functional leaders to align priorities, remove barriers, and accelerate data‑driven transformation

• Lead the design and implementation of scalable data platforms including lakehouse, warehouse, streaming, and integration layers
• Guide development of robust data pipelines, ingestion frameworks, and enterprise data access patterns
• Ensure platforms are reliable, secure, and optimized for analytics, AI/ML, and operational use cases
• Drive standardization and reuse of data architecture patterns across the enterprise

• Own measurable data outcomes including data quality, governance maturity, availability, analytics adoption, and automation
• Define and track KPIs such as data completeness, accuracy, latency, accessibility, and usage
• Establish scorecards and operating reviews to ensure delivery of business outcomes, not just platform deployment
• Drive continuous improvement across the data lifecycle to reduce friction and improve trust in enterprise data

• Drive delivery of integrated, end‑to‑end data capabilities across Product, Engineering, Analytics, and business teams
• Establish shared accountability for data quality, governance, and experience across functions
• Communicate data strategy, priorities, and outcomes clearly to executive and technical stakeholders
• Embed change management and adoption planning to ensure data capabilities are used effectively

• Implement enterprise data governance frameworks including data quality, lineage, metadata, and access control practices
• Ensure compliance with data privacy, security, and regulatory requirements in partnership with Cyber Security and Compliance
• Continuously improve data standards, tooling, and governance practices to support scalability and transformation

• Proven experience leading enterprise data transformation initiatives with measurable business impact
• Deep experience with modern cloud data platforms (e.g., Snowflake, Databricks, MS Fabric) including lakehouse, warehouse, ETL/ELT, and streaming architectures
• Strong understanding of data governance, quality, metadata, lineage, and security practices
• Experience defining KPIs and driving performance improvements across data and analytics capabilities
• Strong leadership and influencing skills across cross‑functional teams
• Ability to translate complex data concepts into business outcomes and decisions

• Bachelor’s degree in Computer Science, Data/Information Systems, Engineering, or related field, or equivalent experience
• 10+ years of experience in data architecture, data engineering, or data platform leadership
• 7+ years of experience leading teams and enterprise initiatives

As part of our onboarding process, all new employees will be required to attend / travel to the office on their first day of employment (Raleigh, NC / Tucson, AZ / Carmel, IN). This requirement is essential for onboarding activities, including the identity verification, completion of necessary documentation, receiving your IT equipment, introductions to key team members, and orientation to Clinisys policies and procedures.

Our benefits for Full Time employees are designed to help you move forward in your career, and in areas of your life outside of work. From health and wellness benefits, 401(k) Savings Plan, stock incentive programs, paid time off, parental leave, and tuition assistance, we've got you covered with our total rewards package.

The starting pay range for a candidate selected for this position who is generally within the range of $150,000 - $180,000 for annual base salary. The successful candidate’s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay may be above or below this range.

• Work is performed in a normal office or setting with minimal exposure to health or safety hazards. Prolonged periods of sitting at a desk and working on a computer.
• Up to 50% travel may be required
• Moderate lifting/carrying 15-44 lbs.; use of fingers; walking/standing 2-6 hours
• Exposure to hazardous materials or various weather conditions
• Travel to client sites that can pose risk associated with healthcare organization
• May be required to follow customer location health and safety requirements

Clinisys is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

This job description is meant to provide an accurate depiction of tasks and accountabilities that are most often associated with this role. While we strive to provide an accurate depiction, nothing in this description restricts the company from changing, reassigning, expanding or reducing scope of accountability.