Director of Data and Analytics

Job not on LinkedIn

🕒 October 14

🇨🇦 Canada – Remote

⏰ Full Time

🔴 Lead

👔 Director

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Modular Solutions

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2015

🛡️ Insurance

☁️ SaaS

🤝 B2B

💰 Seed Round on 2025-06

Insurance • SaaS • B2B

Modular Solutions is a technology company that delivers modular, fully integrated software to the insurance industry. Founded in 2015, the company provides a configurable, affordable policy administration and operations platform used by insurers, mutuals, managing general agents (MGAs) and brokers to manage their entire operations from a single system. With specialties in insurance technology, custom development and policy administration software, Modular Solutions focuses on empowering insurers to innovate, adapt and compete in an evolving market.

📋 Description

• Set the data strategy and long-term roadmap for the Data function, including platforms, vendors, budget, and cost • Build a high-performing team across data engineering, BI and analytics, and data migration • Own the data and analytics platform architecture, including ingestion, pipelines, data warehouse, data marts, semantic layer, BI tools, and AI tools • Define and maintain analytics data models for insurance data aligned with the application’s data model • Collaborate with Product and Development on core application data architecture, schemas, data models, downstream impacts, and data contracts • Own metric governance and establish consistent business definitions and KPIs across BI, client reporting, and AI • Design governed client access to reporting and analytics data, including extracts, APIs, tenant isolation, security, and performance • Set standards for data quality, governance, privacy, security, data residency, PII classification, retention, lineage, and access control • Establish automated reconciliation, testing, validation, and certification frameworks for trusted datasets and AI-generated outputs • Define the reporting operating model, prioritize reporting requests, advance governed self-service analytics, and deliver executive-level insights and forecasting • Build repeatable data migration and onboarding capabilities with conversion, reconciliation, and post-migration validation • Build AI-ready data foundations and lead AI adoption within the Data team • Help define product direction for self-service and AI-assisted analytics • Partner with Product, Development, Implementation, Operations, and leadership to align priorities and communicate progress, risks, and trade-offs • Perform other duties as required to support the Data function • Report to the CTO and lead data engineering, data science, business intelligence, analytics, and migration • First-year deliverables include a target-state architecture and data model, governed semantic layer, automated client-reporting validation, repeatable migration framework, and reporting operating model

🎯 Requirements

• 8+ years of experience in data architecture, data engineering, business intelligence, analytics, or a related data field, including designing data platforms or data models at an organizational level • 3+ years of experience leading, mentoring, or managing technical teams while remaining hands-on • Experience designing enterprise data architecture, including data models, data warehouses and marts, ETL/ELT pipelines, semantic models, and integrations between operational systems and analytics platforms • Experience collaborating with application engineering teams on data design and improving existing systems incrementally • Hands-on experience building and governing business definitions, metrics, or semantic models • Strong grounding in data governance, data quality, privacy, and security, including access control, PII handling, lineage, and validation • Experience leading data migration, data conversion, or reconciliation initiatives • Strong technical knowledge of SQL, relational databases, and cloud data platforms • Experience with Snowflake, PostgreSQL, Power BI, Microsoft Fabric, Azure, and Python, or similar technologies • Familiarity with C# or TypeScript is an asset • Hands-on experience using AI tools in day-to-day work, with sound judgment on accuracy, privacy, and security • Experience designing KPI frameworks and delivering executive-level reporting • Strong data visualization and storytelling skills • Ability to translate business needs into technical direction and technical concepts into clear business language • Ability to set standards and repeatable operating models across technical and non-technical teams • Strong leadership, communication, and problem-solving skills • Ability to manage ambiguity, competing priorities, and cross-functional dependencies • Preferred: background in insurance, InsurTech, SaaS, financial services, or other complex regulated environments • Preferred: familiarity with insurance data • Preferred: previous involvement in AI adoption, enablement, or transformation initiatives • Preferred: exposure to AI-powered internal tools, workflow automation, document analysis, reporting automation, data validation, or agentic systems • Preferred: experience with multi-tenant SaaS data architectures, client data sharing, or data residency requirements • Preferred: experience partnering with Product, Development, Implementation, and executive leadership teams • Preferred: familiarity with Agile tools and practices such as Azure DevOps, Jira, Scrum, or Kanban • Preferred: ability to scale teams, hire technical talent, and support career growth

🏖️ Benefits

• Flexible remote work environment, with a preference for Alberta-based team members, and periodic in-person planning sessions and team events • Extended health, dental, and vision benefits • Access to an Employee and Family Assistance Program • Annual professional development allowance • Additional paid time off beyond standard statutory holidays and vacation • Recognition for meaningful contributions and career milestones • Share Appreciation Rights program so you participate in the company’s long-term success

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