Business Operations and Efficiencies Lead

Description
We are looking for a Business Operations Lead who will own and evolve the Muse’s operating system end-to-end — combining operational excellence, cross-functional execution, and AI-driven transformation into a single, scalable framework.
This role sits at the intersection of strategy, operations, and technology. You will act as a product owner of the company’s internal operating model — designing, implementing, and continuously improving processes, rituals, and systems that drive execution, alignment, and business impact. At the same time, you will lead the integration of AI into these processes to unlock efficiency, transparency, and smarter decision-making.
You will work closely with the Executive Team to ensure that company strategy is translated into structured execution, supported by clear ownership, real-time data, and AI-powered insights.
We are actively integrating AI and automation into all areas of the business and expect candidates with mindset focused on improving efficiency and deliver a better user experience.
Key responsibilities
Own and scale the Company Operating System

Design and implement company-wide operational processes, rituals, and execution frameworks (daily, weekly, monthly rhythms)

Establish and evolve a unified system of planning, execution, and tracking across teams

Build and maintain shared dashboards and tools to ensure transparency and alignment

Create a structured, results-driven operational onboarding program for new leaders

Develop internal project management and knowledge-sharing systems as a single source of truth

Ensure consistent adoption of processes by partnering with Executive and People Operations teams

Continuously improve operational efficiency through data and feedback loops

Act as Product Owner of Cross-Functional Execution

Own the end-to-end lifecycle of cross-functional initiatives as a product: from problem definition to delivery and impact

Introduce and enforce a structured ownership model (Business Owner + Execution Lead)

Ensure clear prioritization, requirements, and accountability across all initiatives

Facilitate executive-level planning, goal-setting, and review sessions

Build and run OKR processes, ensuring goals are measurable, actionable, and embedded in daily execution

Align teams around shared goals, principles, and expected behaviors

Ensure that strategic goals are translated into real execution, not just formal artifacts

Lead Strategic Projects

Identify, propose, and lead high-impact cross-functional projects

Ensure projects deliver measurable business value and are executed within agreed timelines and expectations

Drive stakeholder alignment and manage expectations throughout execution

Build and Integrate AI into Operations

Develop and implement a comprehensive AI Operating System aligned with company objectives

Integrate AI into core operational workflows to enhance productivity, decision-making, and scalability

Unify data across internal systems (e.g., Jira, Confluence, Slack, Zoom, product analytics) into a single AI-powered layer

Build real-time, AI-driven OKR tracking systems with automatic updates from execution data

Identify and implement AI-driven opportunities to improve efficiency and performance

Collaborate with stakeholders to prioritize AI initiatives with the highest business impact

Ensure ethical, secure, and compliant use of AI technologies

Manage relationships with external AI vendors and partners

Stay up to date with AI trends and continuously evolve the company’s capabilities

Requirements

5–8 years of experience in Operations, Strategy, Product Management, Organizational Development, AI/Transformation, or related fields

Strong product mindset with proven ownership of complex systems or initiatives end-to-end

Hands-on experience designing and scaling operational processes and OKR frameworks

Experience leading cross-functional initiatives in complex organizations

Proven track record of driving organizational change and improving execution quality

Experience in AI strategy, implementation, or data-driven systems is a strong advantage

Solid understanding of AI/ML, data analytics, and their business applications

Strong facilitation and stakeholder management skills, especially at the executive level

High standards for communication, documentation, and systems thinking

Ability to translate complex concepts (including AI) into clear, actionable insights

Strong analytical and data-driven decision-making skills

Familiarity with data protection and ethical AI practices

Fluent English

Originally posted on Himalayas