Principal Architect, Data and AI
Benevity
- Calgary, AB
- Permanent
- Full-time
- Develop and maintain the overall data & AI strategy and vision, in line with business goals and industry best practices.
- Provide technical leadership, guidance, and mentorship to the data & analytics teams, ensuring adherence to data architecture principles, AI policies and standards, and methodologies for adopting AI in operational processes.
- Collaborate with product management and executive leadership to define and prioritize GenAI initiatives, considering both short-term and long-term business objectives.
- Lead the design and implementation of scalable, secure, and reliable data solutions that meet customer needs and align with architectural standards.
- Drive innovation and keep abreast of emerging technologies, tools, industry trends, and best practices to continuously improve our data capabilities and maintain a competitive edge.
- Foster a culture of collaboration, knowledge sharing, and continuous learning among the technical and engineering teams, promoting cross-functional communication and the exchange of ideas.
- Evaluate and select data vendors, tools, and frameworks that align with the vision and provide strategic advantage to the organization.
- Collaborate with stakeholders to identify and mitigate technical risks, resolve complex technical challenges, and ensure successful project delivery.
- Stay informed about industry regulations, security standards, and compliance requirements to ensure our solutions meet necessary standards.
- Bachelor's or Master's degree in Data Science, Analytics, Software Engineering, or a related field. A relevant technical certification is a plus.
- Extensive experience (10+ years) in data and AI, with a strong focus on architecture, design, and implementation of large-scale enterprise systems.
- Proven experience in a leadership role, driving data strategy, and guiding data and analytics teams.
- In-depth knowledge of the use of data to support software development methodologies, architectural patterns, and best practices.
- Strong expertise in artificial intelligence and machine learning, both traditional and generative.
- Excellent problem-solving skills and the ability to think strategically while paying attention to details.
- Strong communication and interpersonal skills, with the ability to effectively collaborate with diverse stakeholders, including technical and non-technical team members, executives, and customers.
- Experience with Agile development methodologies and the ability to adapt to a fast-paced, dynamic environment.
- Strong understanding of security principles, performance optimization, scalability, and reliability in software design.
- Demonstrated ability to drive innovation, foster a culture of technical excellence, and stay abreast of emerging technologies