• designing, building, and scaling a modern analytics engineering framework • efficient ingestion, transformation, and delivery of data to support advanced analytics and strategic decision-making • developing automated, production-ready data pipelines and analytics assets • partnering with cross-functional stakeholders to drive measurable business impact and establish scalable, team-based data practices • building scalable data pipelines that ingest external and internal data into Snowflake • maintaining dbt transformation workflows to produce curated, production-ready data models and tables • enforcing best practices for data modeling, performance optimization, data quality, and pipeline reliability • developing and maintaining Python- and SQL-based processes for data ingestion, validation, transformation, and monitoring • implementing and managing GitLab for version control, code collaboration, and CI/CD processes across the analytics team • defining and operationalizing team standards for source control, code reviews, deployment workflows, and documentation • building, optimizing, and owning Power BI datasets, semantic models, and reporting layers • partnering with clinical, operational, and business stakeholders to translate data needs into technical solutions and communicate insights effectively • mentoring and training team members on data engineering workflows, Snowflake, dbt, GitLab, and Power BI • continuously improving platform architecture, tooling, and processes to support a scalable, maintainable, and modern analytics ecosystem • expanding Snowflake capabilities to enable advanced analytics and operational use cases • contributing to advanced analytical initiatives, including identifying cost-savings opportunities and generating insights from complex healthcare datasets

Job Description: The Director of Analytics Engineering leads and coordinates analytics engineering activities in support of our Revenue, Marketing, and Finance departments. They maintain the ability to use our data & analytics technologies and tools to produce impactful analytics products & solutions. Who you’re committed to being: - You move fluidly between technical detail and executive-level storytelling, adjusting your message to fit the room. - You build trust and alignment among Revenue, Marketing, and Finance by earning agreement, not demanding it. - You balance vision with execution. - Training and elevating other analytics practitioners is part of how you define your own success. - You treat your solutions and leadership style as always improving, not finished. What you’ll do: - Develop a consistent and effective support structure for the varied analytics needs across our Revenue, Marketing, and Finance departments - Help lead efforts to devise and implement scalable, sustainable solutions that bring together disparate data from a variety of sources - Provide training and consultation for analytics practitioners throughout Pluralsight - Develop and implement solutions supported by thorough research and analysis to increase operational performance across Revenue, Marketing, and Finance - Support end users on ad hoc data usage and be a subject matter expert on functional side of the business Requirements: - Requires a minimum of 12 years of related or equivalent experience; or 8+ years and an advanced degree. - Demonstrated expertise in data curation, data transformation and data visualization - Experience with data warehousing architecture and data modeling standards - Experience leading large-scale analytics initiatives that enable the business to meet their objectives - Ability to clearly communicate ideas and results to senior, non-technical leaders and team members - This is a remote role; however, applicants located within 45 miles of our Westlake/Dallas, TX office should expect to work on-site Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This approach enables more effective collaboration, quicker decision-making, and a stronger culture, while still providing flexibility. Why you’ll love working here: - We work in a blended environment that supports collaboration, flexibility, and connection across teams. - We are mission-driven, shaping the future of tech upskillling and delivering impact that matters. - We foster a culture of inclusion and belonging, where everyone can contribute and thrive. - We are always learning, creating an environment where you can take on new challenges, expand your skills, and grow with purpose. - Benefits include competitive compensation, bonus eligibility, comprehensive medical coverage, unlimited PTO, wellness reimbursement, professional development funds, and more. About us:Pluralsight provides the only learning platform dedicated to accelerating the technology skills and capabilities of today’s tech workforce. Thousands of companies, government organizations and individuals around the world rely on Pluralsight to support critical technology skill development in areas that are crucial to innovation including artificial intelligence, cloud computing, cybersecurity, software development, and machine learning. We offer highly curated content developed by vetted technology experts, industry leading skill assessments, and hands on, immersive learning experiences designed to help individuals skill-up faster. Physical Requirements:This role is primarily performed in an office or home office setting and involves standard computer-based work. EEOC & Accommodations Statement:Bring yourself. Pluralsight is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or veteran status. We also consider qualified applicants with criminal histories, consistent with EEOC guidelines and local laws. If you need an accommodation to apply, interview, or perform essential job functions, please visit the bottom of our website to learn how to request an accommodation. Learn more about our commitment to diversity, equity, inclusion, and belonging in our DEIB Report. Pay Transparency: The annual US base salary range for this role is $167,200 - $220,000 USD. Actual compensation will depend on location, skills, experience, and other factors. Additional benefits and bonuses may apply. Applications must be submitted within 90 days after the initial posting date to be considered. Recruiting Scam Notice:Please be aware of recruiting scams. We’ll only contact you from an @pluralsight.com email or verified channels. We never ask for sensitive personal info or payments as part of the hiring process. All openings are posted on our Careers page. #LI-SD1

Forward Financing is a financial technology company based in Boston, Massachusetts with team members throughout the United States, Dominican Republic, and Canada. The company is on a mission to unlock the capital that fuels small businesses across America. Recognized as a Best Place to Work by Built In Boston and certified as a Great Place To Work®, Forward is investing in its employees, technology, and customer experience – with long-term success in mind every step of the way. The Analytics Engineering team at Forward plays a central role in our Data ecosystem, partnering with technical and business stakeholders to convert raw data into trusted, AI-ready insights. Our team builds and optimizes data infrastructure, designs the data models and semantic layer that power Forward's source of truth, and develops the pipelines that fuel business intelligence, advanced analytics, predictive modeling, and the next generation of AI-driven experiences at the company. As a Lead Analytics Engineer, you will be the senior technical voice on the team - setting architectural direction, owning our most complex and cross-cutting initiatives, and raising the bar for everyone around you. You'll partner closely with the Manager of Analytics Engineering to drive Forward's data centralization vision, architect the semantic layer that serves as the company's single source of truth, and build the AI-ready data foundation that powers Snowflake Intelligence, agent-based use cases, and machine learning at Forward. You'll mentor Senior and Analytics Engineers across the team and act as a trusted technical partner to leaders in Data Science, Data Engineering, BI, and Product. In This Role You Will: - Own the technical architecture and roadmap for our most complex Analytics Engineering initiatives - including semantic layer design, source-of-truth consolidation, and the data foundation for AI and agent-based use cases - Architect Forward's semantic layer and metrics standards so key business KPIs are defined once, governed clearly, and consumed consistently across dashboards, models, AI agents, and downstream products - Lead the technical design of the AI-ready data platform - making the modeling, metadata, and governance decisions that make Snowflake Intelligence and other AI/agent capabilities trustworthy, performant, and production-ready - Drive technical excellence across our dbt project: model architecture, materialization and incremental strategies, performance tuning, macros, testing patterns, and CI/CD practices that scale as data volume and team size grow - Set and uphold a high bar for craftsmanship across the team - defining standards for SQL style, modeling patterns, documentation, and data quality, and modeling those standards in your own work - Mentor Senior and Analytics Engineers through hands-on code review, pairing, and design feedback - accelerating their growth into stronger technical contributors - Partner with the Manager of Analytics Engineering on technical strategy, hiring, and roadmap planning - acting as a deputy for technical decisions and unblocking the team on the hardest problems - Lead deep technical partnerships with Data Science, Data Engineering, and Core Technology - owning schema migrations, feature deployments, and streaming pipeline contributions where Analytics Engineering is on the critical path - Evaluate and operationalize high-value third-party data sources and emerging tooling (e.g., Snowflake Cortex, semantic layer frameworks, observability tools) and make recommendations that elevate the platform - Champion data governance and quality at the platform level - including dbt tests, lineage, cataloging, observability, and compliance with security and regulatory standards - so both stakeholders and AI systems can trust the numbers Role Requirements:(Even if you don't check every box, but see yourself contributing, please apply.) - 6+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence, with a track record of leading complex, cross-cutting technical initiatives - 4+ years of hands-on production experience with dbt, including advanced patterns such as incremental strategies, macros, custom tests, and CI/CD design - 3+ years of deep experience with a cloud-based data warehouse (Snowflake strongly preferred), including performance tuning and cost optimization - Expert-level proficiency in SQL and dimensional data modeling, with a portfolio of durable, well-tested models that have served as foundational layers for an organization - Demonstrated experience designing and operating a semantic layer or metrics layer that serves as an organizational source of truth - Proven ability to mentor senior engineers, lead architectural decisions, and influence direction across cross-functional teams - Excellent written and verbal communication skills - able to drive technical alignment with both engineers and non-technical stakeholders Bonus Qualifications: - Experience designing or contributing to AI/LLM-based applications backed by warehouse data (e.g., Snowflake Intelligence, Cortex, RAG, agent frameworks) - Hands-on experience with Python for data scripting, automation, or framework development - Familiarity with streaming/CDC pipelines (Streamkap, Fivetran, Kafka) and real-time analytics use cases - Experience leading a data platform migration, large-scale refactor, or modeling-standards overhaul - Experience in fintech, lending, or another regulated, data-intensive industry Compensation: Annual Targeted Salary: $160,000-$185,000 CAD Annual Target Bonus: 12% At Forward Financing, we're committed to fair and transparent compensation. We believe in providing a compensation package that recognizes your skills, experience, and the unique value you bring to our team. We take a market-based approach to pay, regularly reviewing benchmark data to ensure our compensation remains competitive, equitable, and aligned with our performance-driven culture. Final offers are determined by a variety of factors, including the candidate's qualifications, relevant experience, specific skills, and internal equity. This approach ensures that our compensation is competitive and equitable. Your recruiter will provide specific details on the expected base and variable earnings as it pertains to this specific role. This position is to fill an existing vacancy. Total Rewards:Additionally, we offer a comprehensive total rewards package, including but not limited to: medical, dental, vision, a flexible time-off policy, paid parental leave, RRSP match, wellness reimbursement, volunteering days, annual professional development budget, and charitable donation match. Forward is proud to be a remote-first company, keeping workplace flexibility a top priority for our employees. As a business, we are focused on impact; we are more concerned with your contributions to the success of the company than where you get your work done. To help facilitate in-person collaboration, employees are welcome to work from one of our premiere office locations. When we aren’t collaborating to drive business and support our customers, we’re finding virtual and in-person ways to get to know our colleagues, celebrate team wins, and have fun together!

• Design, develop, and optimize scalable dimensional data models and marts using dbt • Build and extend Forward's semantic layer and metrics standards so key business KPIs are defined once, governed clearly, and consumed consistently across dashboards, models, AI agents, and downstream products • Help deliver the data foundation that powers AI at Forward - contributing the high-quality models, metadata, and governance that make Snowflake Intelligence and other AI/agent use cases trustworthy and production-ready • Advance Forward's data centralization vision by collaborating across BI, Data Science, Data Engineering, and Product to consolidate sources of truth and eliminate fragmented business logic • Act as the primary liaison with the Data Science team to translate features into production-ready data variables required for training and validating predictive models • Collaborate closely with the Data Engineering team to ensure the robust, reliable deployment and orchestration of data variables that feed production machine learning models • Partner with the Core Technology teams on internal application schema changes and data migrations, ensuring rigorous data accuracy validation and maintaining minimal disruption to downstream analytical models • Collaborate with the DevOps team to monitor, maintain, and contribute to our independent, high-performance streaming pipelines tailored for real-time analytics use cases • Elevate team code quality by serving as a technical reviewer for Analytics team pull requests, coaching junior members, and enforcing strict adherence to internal standards for style, maintainability, performance, and modern best practices • Evaluate, integrate, and operationalize high-value third-party data sources to strategically enrich and expand the overall data ecosystem • Champion data governance and quality across the data platform - including automated dbt tests, thorough data cataloging, lineage, and compliance with security and regulatory standards - so stakeholders *and* AI systems can both rely on the numbers.