Software Development Manager – AI Solutions, Business Intelligence

LawDepot

Software Development Manager leading AI products and data-driven decision-making processes at LawDepot. Overseeing a team of developers and data scientists in a remote capacity.

Posted 6/29/2026full-timeRemote • 🇨🇦 CanadaMid-LevelSenior💰 CA$140,000 - CA$175,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI-enabled product delivery, data analysis, and business intelligence, with a strong focus on team leadership, project management, and technical excellence. Proficient in SQL, data modeling, and reporting solutions, ensuring alignment with business goals and customer needs.

Highest-signal resume keywords

AI Product DeliverySQL ProficiencyData Analysis SolutionsTechnical LeadershipProject Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentBusiness IntelligenceData ScienceAI DevelopmentData WarehousingData ModelingReporting SolutionsAnalytical ScriptsKPI DesignAI Coding Tools

Soft Skills

Team LeadershipStrong CommunicationMentoringPerformance ManagementAnalytical Judgment

Tools & Technologies

AI PlatformsReporting PlatformsBusiness Intelligence ToolsData TechnologiesMCP-Enabled Data Tools

Industry Keywords

AI-Native DevelopmentData AnalysisPerformance MetricsData QualityAgile Methodologies

Tech Stack

Tools & technologies

SDLCSQL

About the role

Key responsibilities & impact

Lead the team and technology shaping LawDepot’s next generation of AI-powered experiences, reporting capabilities, and data-driven decision-making
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

Requirements

What you’ll need

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 analysis solutions, or related technology projects with a focus on quality, scalability, reliability, and on-time delivery
Strong understanding of applied AI development and AI-assisted software delivery, such as AI coding tools, LLM integrations, AI evaluation, agentic workflows, MCPs, or AI-native SDLC practices
Familiarity with leading AI platforms and tools, with the ability to evaluate their fit for development workflows, product features, reporting, and business analysis
Proven technical leadership skills, including the ability to guide architecture, system design, development, testing, deployment, and continuous improvement of secure and scalable software solutions
Strong SQL skills and experience with business intelligence tools, reporting solutions, data models, and analytical scripts
Experience with data warehousing, data modelling, reporting data pipelines, analytics engineering, semantic-layer design, or related business intelligence architecture
Knowledge of data analysis, data quality, KPI design, reporting accuracy, and how to translate complex data into clear and actionable insights
Ability to build, mentor, and lead high-performing teams
Strong communication skills, with the ability to engage effectively with team members, stakeholders, and senior leadership to align technical work with company goals
Project and delivery management skills, 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 goals, budgets, customer needs, and technical feasibility
Strong business acumen and analytical judgment, with the ability to use metrics, performance data, and customer insights to guide decisions and drive accountability

Benefits

Comp & perks

Comprehensive health and dental benefits, plus an additional Health Care Spending / Personal Spending Account
Great work life balance with 37.5-hour work weeks, flexible schedules, and the ability to bank hours
Paid vacation, plus bonus personal days
Continuous learning opportunities, including LinkedIn Learning subscriptions and training budgets
Company share plan
Free catered lunches for the entire office
Monthly social events for team members to enjoy, including axe throwing, rock climbing, board games, food trucks, trivia contests, and charitable activities
Work alongside talented, driven colleagues in a culture focused on quality, reliability, innovation, and growth
Personal offices for focused work and individual space, plus collaborative workspaces for team meetings
Free and easily accessible parking
Southgate Mall, Whyte Ave, and Calgary Trail restaurants only minutes away
Hybrid working arrangements that support focused work at home and collaboration with colleagues in the office