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Software Development Manager - AI Solutions and Business Intelligence

Lawdepot
CompanyLawdepot
CategoryEngineering
LocationEdmonton
RemoteRemote
EmploymentNot stated
LevelManager
SalaryUSD 140k
Posted29 Jun 2026
Last verified6 Aug 2026
SourceEmployer ATS (ashby)
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Description
What the Role Does: Lead the team and technology shaping LawDepot’s next generation of AI-powered experiences, reporting capabilities, and data-driven decision-making. As the Software Development Manager - AI Solutions and Business Intelligence, you will lead the delivery of customer-facing AI products, internal AI enablement, reporting software, and data analysis solutions that help LawDepot provide an exceptional customer experience and make better business decisions. You will manage Software Developers, Data Scientists, Business Intelligence Specialists, and related technical contributors while establishing the standards, tools, and practices required to deliver valuable AI and business intelligence solutions. This is a full-time, permanent position working 37.5 hours per week, with the option to work hybrid from our Edmonton, Alberta office or fully remote across Canada. What You’ll Do: - Provide technical leadership for the architecture, design, development, deployment, and ongoing improvement of secure, scalable, and reliable AI, reporting, and data analysis software solutions - Manage Software Developers, Data Scientists, Business Intelligence Specialists, and related technical contributors to create a high-performing team and foster technical excellence - Lead the delivery of AI-enabled products and features for customers, improving the legal solutions experience for millions of users around the world - Advocate for and guide AI adoption across LawDepot, helping internal teams improve AI literacy and use AI tools productively, securely, and responsibly - Establish and maintain best practices for AI-native development - Lead the design and delivery of reporting and data analysis software that helps business teams access accurate, timely, and actionable insights through dashboards, self-service reporting tools, reporting platforms, SQL queries, automated workflows, and Excel-based analysis - Own and prioritize the AI team roadmap to ensure work is aligned with business goals, customer needs, technical feasibility, reporting requirements, and organizational impact - Research, evaluate, and recommend AI tools, reporting platforms, data technologies, development workflows, model integrations, MCP-enabled data tools, and technology decisions that align with business goals and long-term company strategy - Work with Revenue Operations to improve SDLC best practices for AI, data science, reporting, and analytics work - Manage project schedules, scope, work estimates, dependencies, risks, resources, and delivery expectations for AI, reporting, data analysis, and related software development initiatives - Set team objectives, establish performance expectations, use performance metrics and data analysis to guide decisions, and conduct performance management to drive accountability and strong execution - Mentor and develop team members through coaching, regular feedback, code reviews, knowledge sharing, performance management, career development support, and hiring as the team evolves - Partner with Product Owners and cross-functional stakeholders to define business requirements, align technical work with business goals, and translate customer, operational, and financial needs into delivery plans - Establish consistent standards for data quality, metric definitions, documentation, access controls, reporting accuracy, and governance to create trusted business reporting What You Bring: The Essentials - Post-secondary education in Computing Science, Software Engineering, Artificial Intelligence, Data Science, Business Intelligence, Analytics, or a related field - 5+ years of experience in software development, business intelligence, data science, or related technical roles, with 2+ years in a leadership-oriented role managing people, projects, processes, or technical delivery - Practical experience delivering AI-enabled products, reporting platforms, business intelligence tools, data analysi