Director Media Data Analytics

Reports to: CEO

Department: Marketing & Business Development

FLSA Category: Exempt

Position Type: Full-Time, Mid-Senior level

Travel Requirement: 0-10%, Quarterly for meetings

Office Location: Remote, US Based

JOB SUMMARY

We are a next-generation AI-powered MarTech and AdTech startup on a mission to level the playing field for small and medium-sized businesses (SMBs). By leveraging state-of-the-art large language models (LLMs), Agentic frameworks, and proprietary ML pipelines, we’re redefining how marketing and advertising ecosystems operate, with intelligence, scale, and automation.

We're seeking a Director of Media Data Analytics to define and lead the data intelligence capabilities that power the Clarvos Agentic Workflow platform. This is a unique opportunity to build and own the media analytics function, driving the strategy behind campaign measurement, optimization, customer intelligence, and predictive insights.

In this role, you will:

Own the data layer that powers campaign management, optimization, attribution, and customer intelligence across the platform.
Lead and develop a team of 3-4 analytics professionals while remaining hands-on in defining analytical strategy and technical direction.
Partner with Product, Engineering, AI/ML, and Design teams to build scalable analytics capabilities that become core features of the Clarvos platform.
Identify gaps in existing data, define solutions, and establish the analytical frameworks required to support future product innovation.
Translate customer needs into intelligent, data-driven product capabilities that improve campaign performance and decision making.

ESSENTIAL FUNCTIONS AND RESPONSIBILITIES

Own the strategy for media data analytics across the Clarvos platform.
Lead, mentor, and develop a team of Media Data Analytics professionals.
Serve as the subject matter expert for campaign measurement, attribution, audience intelligence, and performance analytics.
Partner with Product and Engineering to define data requirements for new platform capabilities.
Identify gaps within the current data ecosystem and develop scalable solutions to address them.
Design and implement measurement frameworks that support campaign optimization and customer insights.
Collaborate with AI/ML teams to embed predictive analytics into customer-facing workflows.
Define data models and analytics architecture that support platform scalability.
Drive best practices around data quality, governance, experimentation, and reporting.
Influence product roadmap decisions through analytical insights and customer feedback.
Translate business requirements into technical specifications for Engineering teams.
Present recommendations and strategic insights to executive leadership.
Foster a culture of ownership, innovation, and continuous improvement across the analytics function.

KNOWLEDGE, SKILLS, ABILITIES, AND QUALIFICATIONS

Bachelor’s degree in computer science, Data Science, Statistics, Marketing Analytics, Engineering, or a related field.
8+ years of experience in Media Analytics, Marketing Analytics, Product Analytics, Data Science, or similar roles.
3+ years of experience leading analytics or data teams.
Proven track record building analytics capabilities and delivering customer-facing data solutions.
Experience partnering with Product and Engineering teams in a SaaS or technology environment.
Deep expertise in media measurement, attribution, campaign analytics, and customer intelligence.
Strong understanding of digital marketing ecosystems and paid media platforms.
Advanced SQL and Python skills.
Experience designing scalable analytics frameworks and data models.
Ability to identify data gaps and independently define solutions.
Experience working with cloud data platforms such as Snowflake, Databricks, BigQuery, or similar.
Strong stakeholder management and cross-functional collaboration skills.
Demonstrated ability to influence product strategy through data-driven decision making.
Experience leading technical discussions and mentoring analytics professionals.
Experience within AdTech, MarTech, AI, or SaaS environments.

Experience with Marketing Mix Modelling (MMM), attribution modelling, or incrementality testing.
Familiarity with Machine Learning and predictive analytics.
Experience working with API-driven marketing platforms and large-scale customer datasets.
Startup or high-growth technology experience preferred.

PHYSICAL REQUIREMENTS/WORKING CONDITIONS:

Standing/Walking/Mobility: Must have mobility to attend meetings remotely and in person.

Climbing/Stooping/Kneeling: 0% - 10% of the time.

Lifting/Pulling/Pushing: 0% - 10% of the time.

Fingering/Grasping/Feeling: Must be able to write, type and use a telephone system 100% of the time.

Sitting: Sitting for prolonged and extended periods of time.

This job description reflects management’s assignment of essential functions; it does not prescribe or restrict the tasks that may be assigned. Management may revise duties as necessary without updating this job description.

For more information about the company, please visit our website: https://clarvos.com/

Clarvos is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as veteran, disability or any other federal, state or local protected class.

Clarvos complies with federal and state disability laws and makes reasonable accommodation for applicants and employees with disabilities.

If you require reasonable accommodation in completing the application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to hrsupport@Clarvos.com.