Lead Data Solutions Architect
Skills
- Stakeholder engagement and business analysis expertise.
- Proficiency in solution architecture and data integration design.
- Experience with Agile, DevOps tools such as GitLab and Azure DevOps.
- Familiarity with data modeling, APIs, cloud technologies, and data visualization software (Power BI, Tableau).
- Knowledge of life sciences regulations and Good Documentation Practices.
- Strong communication, analytical thinking, and organizational skills.
- Ability to evaluate and implement AI tools and automation solutions.
Responsibilities
- Partner with stakeholders to gather and document business requirements and identify process improvement opportunities.
- Design scalable, compliant technical solutions supporting data integration and operational needs.
- Oversee implementation, validation, and documentation of custom software or configurable off-the-shelf systems.
- Collaborate with internal teams and external vendors to deliver solutions aligned with corporate data architecture.
- Define and manage product roadmaps, coordinate sprint planning, and communicate product status.
- Mentor and potentially lead a small team of engineers or analysts.
- Explore and propose innovative AI-driven use cases to enhance business processes and decision-making.
Education
- Bachelor's degree or equivalent, preferably in computer science, engineering, information systems, business, or data analytics.
Benefits
- Discretionary annual bonus
- Health insurance
- Retirement savings benefits
- Life and disability insurance
- Parental leave
- Paid sick leave and vacation
Average salary estimate
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