Lead Data Solutions Architect

Lead Data & Solutions Architect

We are seeking a versatile and strategic Lead Data & Solutions Architect to join our growing technology team. This role serves as a critical bridge between business stakeholders and IT, uncovering opportunities for process improvement, data integration, and technical innovation. You will wear multiple hats – business analyst, data architect, and solution designer – while building strong relationships across the organization and driving impactful change.

This position focuses on the Translational Sciences business unit, partnering directly with our Biospecimen Solutions team to architect systems, integrations, and technology solutions that drive efficiency and business growth. You will work across a diverse ecosystem of platforms to design integrated solutions that support operations, data analysis, business development, and regulatory compliance. Responsibilities include soliciting business requirements, solution architecture, implementation of custom software or configurable off-the-shelf (COTS) systems, data integrations, automations, and testing & validation of various technology solutions to satisfy the needs of the Precision for Medicine business.

Qualifications:

• Education: Bachelor's degree or equivalent desired. Degree in computer science, engineering, information systems, business or data analytics or a related field preferred.

Work Experience:

• Minimum 7-10 years of experience in IT, data, or business systems roles.
• 3+ years in cross-functional roles involving stakeholder engagement, solution design, or data architecture.
• Leadership potential or prior experience managing small teams or projects.
• Experience with the Development, Deployment, and ongoing Maintenance and Management of custom software solutions
• Experience with software development lifecycle, Agile methodology, and web-based development platforms (i.e., GitLab, Azure DevOps or similar toolset)
• Experience with Software Validation, Documentation and Application Lifecycle Deliverables
• Knowledge of life sciences, biotech, or pharmaceutical industries along with a solid understanding of Good Documentation Practices and regulatory frameworks such as 21 CFR Part 11 is desired.
• Strong adaptability and capacity to work in demanding environments.

Skills:

• Outstanding communication, presentation, and stakeholder management skills.
• Strong analytical, critical thinking, and problem-solving abilities.
• Excellent organizational and time management skills; ability to multitask under pressure.
• Experience with Agile project management and DevOps tools (e.g., GitLab, Azure DevOps).
• Proficiency in business process analysis, requirements gathering, and solution design.
• Familiarity with data modeling, integration design, and reporting concepts.
• Understanding of modern data platforms, APIs, and cloud technologies.
• Exposure to AI tools such as ChatGPT, GitHub Copilot, Microsoft Copilot, etc.
• Ability to evaluate AI capabilities and identify practical use cases for automation, analytics, and decision support.
• Experience designing or implementing AI-driven solutions is a strong plus.
• Experience with data warehousing technologies and architecture, like Snowflake.
• Experience with data visualization software, such as Power BI or Tableau

Preferred Tools & Technologies:

• CRM & Business Systems: Salesforce, Ascent ERP, Smartsheet, Microsoft Office 365
• Clinical & Laboratory Systems: Biospecimen Inventory (BSI), Medrio EDC, custom Laboratory Information Management Systems (LIMS)
• Data & Analytics: Power BI, Snowflake
• Experience with similar platforms or regulated systems in life sciences is a strong plus.

Key Responsibilities:

Stakeholder Engagement & Business Analysis

• Partner with business stakeholders to understand current processes, pain points, and opportunities.
• Conduct interviews, workshops, and documentation reviews to gather and refine requirements.
• Solicit and document business requirements; hold users accountable for UAT and feedback.
• Act as a trusted partner between business teams and IT; keep customers and stakeholders informed of the status of the product.

Solution Architecture & Implementation

• Analyze existing systems and data flows to identify integration and reporting opportunities.
• Design and document scalable, compliant, and efficient technical solutions.
• Oversee implementation of custom software or COTS systems, including validation and documentation.
• Collaborate with internal development teams and external vendors to deliver solutions.
• Work with the corporate data warehouse team to align data architecture and pipelines.

Product Ownership & Delivery

• Define and maintain product roadmaps in collaboration with business owners.
• Manage product lifecycle from ideation through sunset.
• Prioritize and manage product backlog items; assist development teams in sprint planning.
• Coordinate product needs and challenges with IT and third-party vendors.
• Communicate product strategy and status to stakeholders.
• Provide mentorship and potentially lead a small team of engineers or analysts.

AI & Innovation

• Explore and propose innovative use cases for AI tools to enhance business processes and decision-making.
• Stay current with emerging AI technologies and assess their applicability in a regulated, data-rich environment.