What are the responsibilities and job description for the Principal AI and Data Architect position at iLink Digital?
Job Description
About The Company :
iLink is a Global Software Solution Provider and Systems Integrator, delivers next-generation technology solutions to help clients solve complex business challenges, improve organizational effectiveness, increase business productivity, realize sustainable enterprise value and transform your business inside-out. iLink integrates software systems and develops custom applications, components, and frameworks on the latest platforms for IT departments, commercial accounts, application services providers (ASP) and independent software vendors (ISV). iLink solutions are used in a broad range of industries and functions, including healthcare, telecom, government, oil and gas, education, and life sciences. iLink's expertise includes Cloud Computing & Application Modernization, Data Management & Analytics, Enterprise Mobility, Portal, collaboration & Social Employee Engagement, Embedded Systems and User Experience design etc.
What makes iLink Systems' offerings unique is the fact that we use pre-created frameworks, designed to accelerate software development and implementation of business processes for our clients. iLink has over 60 frameworks (solution accelerators), both industry-specific and horizontal, that can be easily customized and enhanced to meet your current business challenges.
Requirements
Position Overview
The Senior AI and Data Architect will lead the design, development, and implementation of PCCA's advanced cloud data infrastructure, enabling seamless integration of business intelligence (BI) and artificial intelligence (AI) capabilities.
This individual will take ownership of the data platform, ensuring it evolves to support both BI and advanced analytics use cases, including machine learning and AI-driven insights.
The role requires a deep technical foundation in data architecture, a proven ability to implement modern data strategies, and strong leadership to guide a high-performing team.
This role will ensure the data platform not only supports advanced analytics but also drives business value by enabling actionable insights and innovation in personalized medicine.
Key Responsibilities
- Architecting and Building Scalable Data Systems
- Collaborate on the long term technology, data management, and operational strategy associated with integrating analytic data products and artificial intelligence into PCCA's operations.
- Lead the development of a cloud-based medallion architecture, encompassing bronze, silver, and gold layers, to support PCCA's enterprise data strategy.
- Design star-schema data warehouses to enable robust reporting, BI, and AI use cases.
- Oversee data ingestion, transformation, and orchestration workflows using Microsoft Fabric and other data orchestration tools.
- Select appropriate tools or technologies within the Microsoft ecosystem to future-proof the platform.
- Advanced Analytics Enablement
- Integrate AI and data science capabilities into the data platform, enabling machine learning model training, deployment, and monitoring.
- Facilitate AI semantic modeling and preparation for advanced AI applications.
- Collaborate with data scientists to ensure the platform meets requirements for model experimentation, training, and monitoring.
- Collaboration and Leadership
- Partner with cross-functional teams to gather requirements and ensure alignment of data initiatives with business objectives.
- Serve as a hands-on technical leader, mentoring team members and fostering a collaborative culture of continuous learning.
- Foster a culture of continuous improvement and innovation within the team.
- Data Governance and Security
- Act as the main facilitator and researcher for PCCA's Head of Data Governance, enabling them to rapidly assess and make authoritative governance decisions.
- Implement robust data governance practices, ensuring accuracy, consistency, and security of enterprise data.
- Collaborate with stakeholders to develop a comprehensive reporting data dictionary.
- Agile and DevOps Practices
- Drive adoption of SCRUM Agile methodologies for efficient and iterative project delivery.
- Use Azure DevOps to manage code versioning, CI / DI pipelines, and deployments, ensuring best practices in DevOps are followed.
- Work closely with SCRUM Masters and Product Owners to align data and analytics deliverables with broader business objectives.
Skills and Qualifications
Preferred Qualifications :
Benefits
