Lead Data Architect

1. About Our Client:

The organization operates within the data analytics and customer insights space, addressing the challenge of turning complex customer data into actionable business benchmarks. It focuses on establishing standardized methodologies and reliable data pipelines that support cross-departmental collaboration and decision-making. The program aims to enhance customer retention and expansion through data-driven insights, providing executives with clear visibility into product impact.

2. About the Opportunity:

The Lead Data Architect role is responsible for building and scaling the analytics infrastructure that converts customer data into meaningful business metrics. This position drives the development of models measuring customer lifecycle outcomes and creates frameworks for visualizing product impact. The role is key to standardizing data methodologies and establishing a single source of truth for value data, thereby influencing business strategies and improving customer performance. It also involves mentoring analytics teams and collaborating across departments to ensure consistent application of value metrics.

3. Responsibilities:

• Build and scale analytics infrastructure for business benchmarks

• Develop ROI, TCO, and outcome models for customer lifecycle metrics

• Standardize value methodologies for cross-department collaboration

• Establish reproducible pipelines as a single source of truth for value data

• Lead investigations into customer performance trends to enhance retention and expansion

• Create executive dashboards to visualize product impact

• Mentor within the Operations Analytics community and promote data governance

• Collaborate with multiple departments to apply value metrics

4. Requirements:

• 5+ years in data-driven roles focused on measurable business outcomes

• Expertise in SQL, data modeling, and ETL design with enterprise-scale data

• Proficiency in R or Python for analytics and statistical modeling

• Strong communication and data storytelling skills

• Ability to influence senior stakeholders, including C-level audiences

• Curiosity and ownership mindset focused on uncovering insights

• Experience with BI platforms like Looker or Hex is a plus

• Academic or professional background in a quantitative field

5. Pay Range and Compensation Package:

• The pay range and compensation package for this role will be determined based on the candidate’s experience, skills, and other relevant factors.

6. Benefits & Perks:

• Fully remote work environment

• Flexible work hours with a focus on results

• Opportunity to participate in company equity plans

• Tailored compensation packages based on experience

• Access to extensive benefits and perks that promote employee growth

• A culture supporting continuous learning and development

• Minimal travel requirements, mainly for strategic offsites

Equal Opportunity Statement:

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.