Forward Deployed Engineer, Data Engineering & Architecture

Accountabilities:: Partner directly with business teams to understand operational processes, identify pain points, evaluate manual activities, and uncover opportunities for automation and improvement. Analyze and map existing workflows to identify inefficiencies and recommend opportunities to simplify, standardize, automate, or eliminate unnecessary tasks. Translate business challenges and stakeholder requirements into clearly defined technical opportunities with measurable business outcomes. Design, develop, and implement automation solutions that reduce manual workloads, improve operational efficiency, and increase process reliability. Lead successful automation initiatives from initial prototypes and proof of value through to scalable, reusable data products. Define and manage the vision, requirements, roadmap, and priorities for data products within your area of responsibility. Ensure that developed data products have clear ownership, defined users, measurable performance objectives, appropriate documentation, and ongoing operational support. Maintain and prioritize product backlogs based on business value, user feedback, adoption rates, technical complexity, and opportunities for further development. Continuously improve existing solutions based on real-world performance, stakeholder feedback, and evolving business requirements. Work closely with business stakeholders and technology teams to evaluate opportunities according to expected value, implementation effort, complexity, and scalability. Lead initiatives throughout their entire lifecycle, from discovery and initial validation to implementation, adoption, and long-term product evolution. Communicate technical options, dependencies, potential risks, and implementation trade-offs in clear and accessible business language. Drive stakeholder engagement and product adoption, ensuring that delivered solutions effectively address the original business challenges. Identify common patterns across individual automation projects and transform them into shared capabilities and reusable enterprise data products. Establish repeatable approaches for discovering, evaluating, prioritizing, and scaling automation opportunities across the organization. Explore and implement emerging technologies, including artificial intelligence, generative AI, and intelligent automation, where they can deliver meaningful operational improvements. Monitor solution performance and adoption, measure business impact, and identify opportunities for further optimization and innovation. Requirements: At least 8 years of progressive professional experience across technology, process improvement, automation, digital transformation, data products, business systems, or related disciplines. Strong experience analyzing business workflows, identifying operational inefficiencies, and developing practical process improvement and automation solutions. Demonstrated experience owning or leading technology, automation, or data products throughout their entire lifecycle, from initial discovery to implementation and ongoing optimization. Proven ability to transform successful prototypes, individual automation projects, or point solutions into scalable and reusable capabilities. Strong analytical and problem-solving skills, with the ability to structure ambiguous challenges and translate them into actionable solutions. Experience defining, managing, and prioritizing product requirements and backlogs based on business value, stakeholder expectations, and user needs. Proven ability to coordinate complex initiatives and manage delivery across multiple business and technology teams. Good understanding of modern data architecture, cloud platforms, system integrations, automation technologies, and software delivery practices. Excellent communication and stakeholder management skills, with the ability to collaborate effectively with both technical and non-technical audiences. Strong product mindset, with a focus on ownership, experimentation, measurable outcomes, and continuous improvement. Ability to work independently, take initiative, and balance strategic thinking with hands-on execution. Experience building or managing enterprise-level data products is considered a strong advantage. Familiarity with workflow automation solutions and low-code/no-code platforms is desirable. Experience applying artificial intelligence, generative AI, or intelligent automation to business processes is an asset. Knowledge of modern cloud data platforms such as Snowflake and cloud environments such as AWS is beneficial. Experience working with enterprise applications, APIs, system integrations, and workflow management platforms is preferred. Familiarity with process mapping, Lean methodologies, or other continuous improvement frameworks is an advantage. Previous experience in healthcare, multi-site operations, or other complex enterprise environments is highly desirable. Must be legally authorized to work in Canada. Benefits: Competitive annual base salary ranging from CAD 130,000 to CAD 150,000. Performance-based bonus opportunity of up to 15%. Competitive total rewards and employee benefits package. Hybrid working arrangement based at the Toronto Support Centre, with on-site work from Monday to Thursday and remote work on Fridays. Centrally located workplace at 181 Bay Street in Toronto's financial district. Opportunity to take ownership of a newly created position and help shape an evolving data engineering and automation function. Meaningful responsibility and the opportunity to influence enterprise-wide digital transformation initiatives. Exposure to modern technologies, including AI, generative AI, cloud data platforms, and intelligent automation. Collaborative working environment that encourages knowledge sharing, innovation, and continuous professional development. Opportunity to work alongside multidisciplinary business and technology teams on high-impact projects. Inclusive workplace culture that values diversity, collaboration, excellence, and exceptional experiences.