Business Analytics Architect

About Muck Rack

Muck Rack is a leading SaaS platform designed for professionals in public relations and communications. Our goal is to empower organizations to build trust, tell compelling stories, and showcase the unique benefits of earned media. By integrating media database, monitoring, and reporting into one dynamic AI-powered platform, we simplify the PR workflow to generate positive media coverage, track mentions for brand reputation management, and analyze the business impact of PR activities. Our fully distributed, founder-controlled company has earned multiple awards for its culture and products, reflecting our values of resilience, transparency, ownership, and dedication to customers.

Role Summary

We are seeking a motivated and collaborative Business Analytics Architect to lead our Business Data Analytics team. Reporting to the VP of Analytics, this role involves defining and guiding an AI-first data and analytics architecture that modernizes our analytics platform. You'll enable new, efficient ways for teams to access and interact with data.

Key Responsibilities

• Define and implement an AI-driven enterprise data and analytics architecture that modernizes and unifies the analytics technology stack.
• Design scalable data infrastructure, including ingestion and transformation processes, storage models, and integration approaches involving systems such as Snowflake, Databricks, dbt, Python, and SQL.
• Create governed semantic data layers and support architectures for AI agents, natural language querying, conversational analytics, and other AI-enhanced data experiences.
• Develop architecture patterns for secure data retrieval, APIs, and integrations facilitating AI applications' interaction with trusted enterprise data.
• Guide the development of data governance, security, privacy, access control, and compliance strategies ensuring appropriate data accessibility and protection.
• Establish engineering standards related to data modeling, automated testing, observability, CI/CD, documentation, deployment, and system integration to enhance platform reliability and maintainability.
• Provide technical leadership and mentorship to Analytics Engineers within the team.

Qualifications and Experience

• Minimum of 7 years in designing and evolving sophisticated data and analytics architectures that span multiple systems, teams, or business areas.
• Extensive experience with cloud data platforms and analytics practices, notably Snowflake, Databricks, dbt, Python, and SQL.
• Proficiency in crafting scalable data models, transformation pipelines, semantic or metrics layers, and integration solutions fostering trusted self-service analytics.
• Knowledge in architecting or deploying AI-enhanced data systems, including natural language analytics, AI agents, Retrieval-Augmented Generation (RAG), vector searches, or LLM-powered workflows.
• Strong grasp of enterprise data governance, security, privacy, access control, and data quality, with an ability to translate these into technical architectures.
• Experience implementing engineering practices like automated testing, CI/CD, observability, version control, and dependable deployment methods for analytics systems.
• Proven capability to set technical directions, evaluate complex architectural alternatives, and influence decisions collaboratively.
• Excellent communication skills to clarify complex data and AI architecture decisions to technical and business stakeholders alike.

Additional Attributes (Preferred)

• Experience consolidating disjointed enterprise data ecosystems into unified modern data stacks.
• Designing semantic or metrics layers aimed at supporting AI-driven conversational or self-service analytics.
• Hands-on involvement in taking AI agents or RAG data applications from design to production.
• Creation of reusable frameworks, standards, or platform capabilities enhancing analytics and engineering team efficiencies.
• Passion for mentoring engineers while maintaining individual contributor responsibilities.
• Comfort with operating in ambiguous technical contexts, influencing architecture for long-term team use.

Work Practices

• Balancing pragmatic architectural decisions between immediate business needs and long-term scalability, maintainability, and security.
• Building alignment and clear communication across both technical and non-technical teams.
• Taking ownership of complex, unclear problems, delivering clarity and actionable technical solutions.
• Developing reusable standards and systems that boost team effectiveness.
• Sharing knowledge proactively and guiding teammates through complex challenges.
• Leveraging AI tools routinely to improve productivity and accelerate delivery.

Interview Process Overview

• Initial 30-minute screening with Talent Team member.
• One-hour discussion with the hiring manager via Zoom.
• Peer interviews with multiple team members.
• Skills assessment.
• Interviews with executives.
• 30-minute Bar Raiser interview.

Travel & Team Engagement

This position expects up to 10% travel for collaboration, customer meetings, and company events. Participation in the annual company offsite, typically in Mexico, is required to strengthen team connections.

Compensation

• In Ireland, the salary range is €110,000 to €130,000 annually, based on experience.
• In the United Kingdom, the anticipated salary is £130,000 to £150,000, depending on experience.
• Actual compensation considers experience, skill level, and internal company equity.

Benefits

• Permanent remote work setup with home office stipend, phone and internet reimbursements, and coworking memberships.
• Virtual and in-person team bonding events, including lunches and competitions.
• Competitive, geographical-neutral pay in the U.S., with annual reviews and standardized bonus or commission structures.
• 401(k) retirement plan with employer contributions and equity opportunities.
• Comprehensive health benefits covering medical, dental, vision, disability, and life insurance for employees and dependents, with 100% premium coverage on high-deductible plans.
• 24/7 virtual healthcare and employee assistance programs, employer-funded health savings accounts, quarterly wellness stipends, and free Headspace subscriptions.
• Generous paid time off including over four weeks PTO, 13 paid holidays with flexibility to swap, and up to 16 weeks of fully paid parental leave.
• Learning and development avenues with unlimited online course access, internal mobility, performance reviews, and additional PTO for personal growth.
• An inclusive culture valuing equity, diversity, collaboration, innovation, and trust among 3,000+ customers globally.

Other Important Information

Please note that hiring locations are restricted by compliance and job function requirements. Notifications are sent if eligibility cannot be met based on your location. Muck Rack maintains strict policies against unsolicited resumes from third parties and enforces data privacy laws including GDPR and CCPA. Candidates should beware of recruitment scams and only trust official company communications.