Solutions Architecture Advisor collaborating with stakeholders on projects such as cloud migrations and system implementations. Engage in technical leadership and support across multiple business sectors.
About the role
- 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.
Responsibilities
- 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
- 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
- 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
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