Head of Business Operations
Brief Summary
The Head of Business Operations owns the configuration, integrity, and scalability of the company's business operations systems, serving as the bridge between business strategy and technical execution reporting directly to the CEO/Co-Founder. This role is responsible for translating institutional knowledge into scalable business processes,
ensuring data integrity, and enabling the transition from ad-hoc decision making to data-driven workflows. This is a senior management role with individual-contributor responsibilities, broad cross-functional authority, and high executive visibility.
The Head of Business Operations will take a lead role in defining the data architecture, implementing process guardrails, and analyzing operational data to drive strategy. This person acts as the cross-functional orchestrator of the business operations system, collaborating with Sales, Production, and Leadership to extract & refine business logic and codify it into streamlined processes. Success in this role requires a strong backbone to enforce higher standards, and an analytical and systems-thinking mindset to visualize downstream effects.
What Success Looks Like
● All core workflows are analyzable, have entrance/exit criteria, and are governed by continuously improving SOPs
● Leadership can answer key operational questions without ad-hoc data pulls
● Administrative overhead for sales and production staff is measurably reduced through intuitive, user-centric workflow design and automation.
● Data integrity is proactively enforced through automated validation gates, ensuring all transactions reaching Production meet technical completeness standards
● Schema changes follow a formal change process without disruptive production breakage
● Cross-team handoffs show measurable reductions in rework or delays
● Operational reporting has shifted from reactive status checks to predictive insights, providing automated triggers for churn risks and production bottlenecks
Duties & Responsibilities
Requirements Engineering (Internal Product Owner)
● Conduct structured interviews with stakeholders (Sales, Production) to extract complex business logic, transforming qualitative requirements into workflow pipelines, binary system gates, and automation triggers.
● Treat internal tools as a "Product" and internal staff as "Users," conducting user research to ensure workflows are intuitive and reduce friction.
● Act as the liaison between business stakeholders and technical teams to ensure alignment.
● Define, mandate, and manage the company's "Data Dictionary" and Standard Operating
Procedures (SOPs), ensuring a unified language and common framework is adopted across all functional teams.
System Ownership & Platform Governance
● Own the configuration and architecture of the company’s operating platform (currently Monday.com), defining object relationships and preventing schema drift.
● Translate strategic business objectives into system logic, automation rules, and workflows to create a scalable operating platform that generates measurable, actionable data.
● Define and enforce strict "Entrance and Exit Criteria" for all business process stages to prevent data errors (the enforcement aspect).
● Manage the change control process for system updates to prevent disruption to active workflows.
Business Intelligence
● Responsible for building decision-grade operational reporting and analysis (but not exploratory data science/research or data engineering).
● Query and analyze cross-functional data to drive strategic business decisions, identify performance gaps, and uncover opportunities for revenue optimization and growth (e.g., ROAS, marketing attribution, churn risks, customer LTV).
● Own and facilitate the weekly business review, working with management and leads to refine reporting and insights across the organization.
● Design and maintain management reporting dashboards to track key performance indicators and operational health.
Decision Authority
This role has final decision authority over the following areas:
● Operating system structure and data definitions
● Workflow stage definitions and gating logic
● Approval or rejection of system changes that affect data integrity
Desired Qualifications & Traits
● Systems Thinker: Possesses strong systems thinking capabilities, naturally visualizing the downstream effects of upstream changes (e.g., how a change in the Sales form affects the Production floor). They prioritize long-term scalability over short-term "hacks."
● Pragmatic Architect: Maintains a pragmatic approach to architecture, balancing "perfection with business utility." They know when to implement a rigid constraint and when to allow manual flexibility, always focused on delivering high-utility features.
● Operational Excellence Steward: Demonstrates operational discipline and the ability to define, promote, and enforce process compliance among diverse teams. They value consistency and predictability and are willing to say "No" when requests threaten system integrity and guide the team to the right trade-off.
● Analytical & Problem-Solving Mindset: Possesses an investigative nature, focusing on finding root causes and proactively hunting for "process leaks" and undefined variables. They validate assumptions with data rather than anecdotes.
● Coach & Change Leader: Possesses high emotional intelligence and the teaching ability to re-program legacy habits. They can explain why a new system is better to resistant teams and guide them through the transition with patience and clarity.
● Ambiguity Simplifier: Has the ability to simplify ambiguity, taking chaotic business inputs and structuring the information into linear, standardized processes.
● Translator & Data-Centric Communicator: Has strong communication skills to fluently bridge the gap, explaining technical constraints to non-technical stakeholders in plain English.
● Detail-Oriented: Is highly detail-oriented, obsessed with consistent naming conventions and data definitions. They notice misalignment in data definitions immediately, ensuring organizational clarity and data integrity.
Experience & Educational Requirements & Preferences
Experience & Educational Background
● 7+ years of experience in Business Operations, Systems Administration, or Data Analysis.
● Bachelor’s degree in Business, Information Systems, or related field required, Master's degree preferred.
● People Management and Team Building
Platform Expertise & Architecture
● Low-Code/No-Code Mastery: Advanced proficiency with Low-Code/No-Code platforms (Monday.com, Airtable, Salesforce) is required, including the management of complex automation rules, dependencies, and integration webhooks.
● Business Object Modeling / Relational Database Design: Proven experience designing relational database schemas (One-to-Many, Many-to-Many), specifically including the ability to translate flat spreadsheets into relational objects (e.g., separating "Orders" from "Line Items").
● API & Integration Knowledge: Ability to read API documentation to understand system
capabilities/limitations.
● Lightweight Scripting & Automation (Preferred): Proficiency with basic data-related scripting (Python, SQL) or advanced spreadsheet macros (VBA) to independently manipulate datasets or prototype logic is a strong plus.
Process, Intelligence, & Change Management
● Business Process Modeling (BPM): Experience with Business Process Modeling (BPM), including creating detailed swimlane diagrams to visualize hand-offs and defining strict "Entrance and Exit Criteria" for process stages.
● Business Intelligence (BI) & Reporting: Proficiency in designing Business Intelligence (BI) dashboards and reports, with an understanding of how to structure data for customer segmentation and cohort analysis.
● Change Management & Training: Experience managing change, designing rollout plans, and creating training materials and SOPs for users in a fast-paced environment.
