Specialist IS Architect

Job Description

Roles & Responsibilities:

- As a Specialist IS Platform Architect Lead the design, aid development, and deployment of advanced data integration solutions for Global Medical teams, enabling actionable insights across diverse business capabilities.
- Design integrated solutions and analytical summarized dimensional data models and datasets to augment visualization applications and dashboards
- Aid Development platform team with design, development of backend infrastructure and integrated views using AWS, Databricks notebooks with Python, sql, node. js
- Drive innovation in data analytics by introducing advanced techniques (e. g. , AI, predictive analytics, dynamic storytelling) to highlight trends and opportunities.
- Drive API based integration capabilities to integrate the Global Medical ecosystem
- Monitor and enhance the performance of data pipelines, ensuring optimal load times and usability.
- Ensure data integrity, quality, and compliance with regulatory standards, such as HIPAA and GDPR.
- Partner with cross-functional teams to understand business requirements and translate them into scalable visualization solutions.
- Present data insights n solutions to senior leadership, enabling data-driven decision-making across the organization.
- Train and mentor team members and business users on the effective use of analytics best practices.
- Establish and monitor KPIs and data load pipelines
- Drive cross-functional collaboration with engineering, data science, and business teams to streamline workflows and enhance efficiency.
- Drive the implementation of reusable, scalable frameworks for visualization solutions to support global reporting needs.
- Support ad-hoc and strategic reporting requests with customized data visualizations tailored to business needs.

Technical Expertise & Innovation

- Stay updated with emerging trends and tools in data and analytics, incorporating innovative solutions into the teams workflows.
- Advocate for the adoption of cutting-edge tools and methodologies to elevate the organizations visualization capabilities.
- Collaborate on the development of a centralized data lake and ensure alignment with enterprise architecture standards.
- An ongoing commitment to learning and staying at the forefront of AI/ML advancements

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications.

Basic Qualifications:

- Doctorate degree / Masters degree / Bachelors degree and 8 to 13 years of Information Systems experience
- Technical Expertise in architecting visualization solutions and applications such as Tableau, Power BI, or React js equivalent.
- Proficiency in integrating data and hands on experience with AWS, SQL, Python, R, or other data analysis programming languages.
- Strong understanding of medical data models, including Field Medical, Medinfo, and SciComm frameworks.
- Excellent communication and stakeholder management skills.
- Strong project management skills, with experience leading cross-functional teams

Preferred Qualifications:

- 7+ years of experience in Architecting, data analytics, visualization, or business intelligence, preferably within the pharmaceutical, life sciences, or healthcare industry.
- Demonstrated experience in managing global data projects and collaborating with cross-functional teams in a matrixed organization.
- Advanced certifications in data visualization tools (e. g. , Tableau Certified Professional, Microsoft Power BI Certification).
- Familiarity with cloud platforms such as AWS, Azure, or GCP, and experience in integrating data visualization solutions with cloud-based architectures.

Functional Skills:

Must-Have Skills:

- Excellent communication and interpersonal skills, with the ability to convey technical information to non-technical users
- Ability to work collaboratively with cross-functional teams and manage multiple tasks simultaneously
- Strong analytical and problem-solving skills to interpret complex data and provide actionable insights
- Strong skills in analyzing and modeling large datasets, with expertise in creating aggregate data models and enabling ad-hoc reporting.

Good-to-Have Skills:

- Work experience in the biotechnology or pharmaceutical industry.
- Experience using and adopting Scaled Agile Framework (SAFe)
- Ability to work effectively in a fast-paced, dynamic environment.
- An ongoing commitment to learning and staying at the forefront of AI/ML advancements.

Professional Certifications

- SAFe for Teams certification (preferred)

Soft Skills

- :Exceptional collaboration and communication skills.
- Ability to manage multiple priorities successfully.
- Team-oriented with a focus on achieving team goals.
- Strong presentation and public speaking skills.
- Strong ability to inspire and lead teams, fostering collaboration and accountability.
- Proactive approach to identifying challenges and implementing data-driven solutions effectively.
- Proven ability to work with cross-functional and multicultural teams to deliver on shared goals.
- Flexibility to manage evolving priorities in a fast-paced, dynamic environment

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