
Software Development Manager – AI Solutions, Business Intelligence
Posted Jul 18

Posted Jul 18
This is a fully remote position, open to applicants in Canada.
• Lead the team and technology that will shape LawDepot’s next generation of AI-driven experiences, reporting capabilities, and data-informed decision-making.
• Oversee Software Developers, Data Scientists, Business Intelligence Specialists, and other technical contributors to cultivate a high-performing team and promote technical excellence.
• Spearhead the delivery of AI-enhanced products and features for customers, enhancing the legal solutions experience for millions of users globally.
• Champion and facilitate AI adoption throughout LawDepot, assisting internal teams in improving AI literacy and using AI tools in a productive, secure, and responsible manner.
• Establish and uphold best practices for AI-native development.
• Direct the design and delivery of reporting and data analysis software that empowers business teams to access accurate, timely, and actionable insights through dashboards, self-service reporting tools, reporting platforms, SQL queries, automated workflows, and Excel-based analyses.
• Own and prioritize the AI team roadmap to ensure alignment with business objectives, customer requirements, technical feasibility, reporting obligations, and organizational impact.
• Research, assess, and recommend AI tools, reporting platforms, data technologies, development workflows, model integrations, MCP-enabled data tools, and technology strategies that align with business objectives and the long-term vision of the company.
• Collaborate with Revenue Operations to enhance SDLC best practices for AI, data science, reporting, and analytics initiatives.
• Manage project timelines, scope, work estimates, dependencies, risks, resources, and delivery expectations for AI, reporting, data analysis, and associated software development projects.
• Set team goals, define performance expectations, utilize performance metrics and data analysis to guide decisions, and conduct performance management to foster accountability and effective execution.
• Mentor and develop team members through coaching, regular feedback, code reviews, knowledge sharing, performance management, career development support, and recruitment as the team expands.
• Collaborate with Product Owners and cross-functional stakeholders to outline business requirements, align technical work with business objectives, and translate customer, operational, and financial needs into actionable delivery plans.
• Establish consistent standards for data quality, metric definitions, documentation, access controls, reporting accuracy, and governance to create reliable business reporting.
• Post-secondary education in Computing Science, Software Engineering, Artificial Intelligence, Data Science, Business Intelligence, Analytics, or a related discipline.
• Over 5 years of experience in software development, business intelligence, data science, or related technical roles, with at least 2 years in a leadership capacity managing personnel, projects, processes, or technical delivery.
• Practical experience in delivering AI-enabled products, reporting platforms, business intelligence tools, data analysis solutions, or related technology projects, emphasizing quality, scalability, reliability, and timely delivery.
• Strong understanding of applied AI development and AI-assisted software delivery, including AI coding tools, LLM integrations, AI evaluation, agentic workflows, MCPs, or AI-native SDLC practices.
• Familiarity with leading AI platforms and tools, with the capability to assess their suitability for development workflows, product features, reporting, and business analysis.
• Demonstrated technical leadership abilities, including the capacity to guide architecture, system design, development, testing, deployment, and continuous improvement of secure and scalable software solutions.
• Strong SQL proficiency and experience with business intelligence tools, reporting solutions, data models, and analytical scripts.
• Experience with data warehousing, data modeling, reporting data pipelines, analytics engineering, semantic-layer design, or related business intelligence architecture.
• Knowledge of data analysis, data quality, KPI design, reporting accuracy, and the ability to translate complex data into clear and actionable insights.
• Capacity to build, mentor, and lead high-performing teams.
• Excellent communication skills, with the ability to effectively engage with team members, stakeholders, and senior leadership to align technical work with organizational goals.
• Project and delivery management expertise, including the ability to own roadmaps, prioritize initiatives, manage scope, schedules, estimates, dependencies, risks, resources, and delivery expectations.
• Ability to evaluate and select platforms, tools, and technologies that align with business objectives, budgets, customer requirements, and technical feasibility.
• Strong business acumen and analytical judgment, with the capability to leverage metrics, performance data, and customer insights to inform decisions and drive accountability.
• Comprehensive health and dental benefits, along with an additional Health Care Spending / Personal Spending Account.
• Excellent work-life balance with 37.5-hour work weeks, flexible schedules, and the option to bank hours.
• Paid vacation along with bonus personal days.
• Continuous learning opportunities, including LinkedIn Learning subscriptions and training budgets.
• Company share plan.
• Complimentary catered lunches for the entire office.
• Monthly social events for team members, including axe throwing, rock climbing, board games, food trucks, trivia contests, and charitable activities.
• Collaborate with talented, driven colleagues in a culture centered on quality, reliability, innovation, and growth.
• Personal offices for focused work and individual space, along with collaborative workspaces for team meetings.
• Free and easily accessible parking.
• Close proximity to Southgate Mall, Whyte Ave, and Calgary Trail restaurants.
• Hybrid work arrangements that facilitate focused work at home and collaboration with colleagues in the office.
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