Mux-posted 25 days ago
Full-time • Director
Hybrid • San Francisco, CA
51-100 employees

We're seeking an exceptional Director of Data & Business Systems to architect the future of data at Mux. This is a unique player-coach role for someone who loves being hands-on with data engineering and analytics while also setting strategic direction and building a high-performing team. You'll split your time between driving critical technical projects yourself and leading a small team of data professionals to transform how Mux captures, models, and leverages data across the organization. You'll lead the charge to modernize our data architecture, establish robust governance frameworks, and leverage emerging AI capabilities to democratize data access across the company. This role reports directly to the CFO and partners closely with Product, Engineering, FinOps, and GTM leadership to ensure data is a strategic asset that drives business outcomes. This is specifically for someone who thrives as a player-coach—someone who can design data architecture in the morning and write dbt models in the afternoon, who loves mentoring a small team while staying close to the technical work. This is not a role for someone looking to build and manage a large organization; it's for someone who wants to drive impact through a combination of hands-on technical excellence and strategic leadership. Preference for candidates in the San Francisco Bay Area.

  • Develop and execute comprehensive data strategy for capturing, storing, and utilizing data across product, marketing, operations, and finance
  • Design and implement modern, scalable data pipelines that enable reliable insights
  • Redesign core data models to support new product launches and evolving business complexity
  • Establish and enforce data contracts to prevent unexpected schema changes and downstream failures
  • Lead technical deep-dives to resolve complex data issues and drive continuous improvement
  • Build robust data governance frameworks including policies, standards, ownership models, and change management processes
  • Implement comprehensive dbt testing strategy with focus on data contract validation and primary key uniqueness
  • Collaborate with security teams to establish controls around data access, usage, privacy, and regulatory compliance
  • Drive incident response and root cause analysis for data quality issues
  • Oversee selection, implementation, and optimization of core business systems (NetSuite, Salesforce, Hubspot, billing systems) to maximize efficiency and ROI
  • Own strategic roadmap for data warehouse (Snowflake), transformation layer (dbt), and analytics platform (Omni)
  • Streamline cross-functional processes ensuring data consistency and integration across platforms
  • Evaluate and implement emerging technologies (AI/ML, LLMs) to enhance data quality, accessibility, and automation
  • Lead and develop a high-performing team of data professionals (Analytics Lead + Analytics Engineer)
  • Balance hands-on technical work with coaching and mentorship to accelerate team growth
  • Foster a culture of technical excellence, innovation, and continuous learning
  • Define team priorities, roadmaps, and success metrics aligned with company objectives
  • Recruit and create career development plans for team members as the function grows
  • Partner with CFO on financial data infrastructure supporting audit readiness and planning processes
  • Collaborate with Product, Engineering, FinOps, and GTM leaders to identify data needs and prioritize projects
  • Present strategic recommendations and technical trade-offs to executive stakeholders
  • Drive consensus across technical and business teams on data investments and architecture decisions
  • 8+ years of experience in data engineering, analytics engineering, or data architecture roles
  • 3+ years in leadership roles with proven ability to balance hands-on technical work with team management
  • Expert-level proficiency in SQL, data modeling, and modern data stack technologies (Snowflake, dbt)
  • Deep experience designing and implementing data pipelines, transformation logic, and data quality frameworks
  • Proven track record of leading data architecture redesigns and migrations at growing companies
  • Strong experience with business system integrations (ERP, CRM, billing systems)
  • Experience in developer tools, API-first companies, or infrastructure businesses
  • Exceptional ability to communicate complex technical concepts to both technical and non-technical audiences
  • Demonstrated success implementing data governance frameworks and quality controls
  • Experience working directly with Finance, Product, and Engineering teams in fast-paced environments
  • Background in video streaming, media, or content delivery networks
  • Hands-on experience with AI/ML tools for data quality, automation, or analytics enhancement
  • Track record of leveraging emerging technologies (LLMs, workflow automation) to solve data challenges
  • Experience with revenue recognition, financial reporting, or audit readiness initiatives
  • Knowledge of data privacy regulations and compliance frameworks
  • Contributions to open-source data tools or active participation in data community
  • Flexible PTO + 11 company holidays
  • Weekly no-meeting days + quarterly focus weeks
  • Healthy work-life balance encouraged
  • Competitive health, dental, and vision insurance
  • Fully funded fertility benefits
  • HSA available, compatible with high deductible plan only ($100 per single employee/month & $200 per family/month employer contribution)
  • FSA available
  • Short-term and long-term disability insurance
  • Group life insurance
  • Travel accident insurance
  • Employee Assistance Program (EAP)
  • Medical support concierge service
  • 401(k)
  • Paid parental leave
  • Investment in career growth through professional development stipend
  • Reimbursements for headphones, cell phones, device upgrades, and SVoD services of Mux customers
  • Lunch reimbursement program
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