Manager, Analytics Platforms

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Manager, Analytics Platforms based in the United States.

This role offers the opportunity to own and evolve critical analytics and marketing technology platforms that support data-driven decision-making.

The position focuses on building scalable architecture, governance frameworks, and enablement strategies across complex data ecosystems.

Working closely with Engineering, Analytics, Product, Marketing, and Operations teams, the role ensures platforms are reliable, well-adopted, and aligned with business goals.

The ideal candidate will combine technical expertise, platform ownership experience, and strong cross-functional collaboration skills.

This position plays a key role in improving data quality, reducing complexity, and enabling teams to confidently leverage enterprise tools.

It is an impactful opportunity for a platform leader who enjoys creating standards, driving adoption, and optimizing technology investments.

Accountabilities

• Own the architecture, governance, and strategic direction of assigned analytics, marketing technology, or experimentation platforms.
• Define technical standards, configuration guidelines, integration practices, and operational frameworks to ensure consistent platform usage.
• Create and maintain governance documentation, including implementation standards, naming conventions, data schemas, access controls, and best practices.
• Partner with Data Engineering, Analytics Engineering, Product Engineering, Marketing, and Operations teams to integrate platforms into the broader technology ecosystem.
• Develop onboarding resources, documentation, training materials, and enablement programs that help teams use platforms effectively and independently.
• Monitor platform health metrics, including data quality, reliability, latency, adoption, and coverage, while identifying opportunities for improvement.
• Serve as the internal subject matter expert for platform-related questions, escalations, troubleshooting, and complex technical challenges.
• Manage vendor relationships, including renewals, licensing, roadmap discussions, feature evaluations, and service-level agreements.
• Identify opportunities to reduce technical debt, improve platform capabilities, and increase operational efficiency.
• Support platform-specific initiatives such as customer data governance, tag management standards, attribution models, experimentation frameworks, feature flag governance, business intelligence workspace management, and analytics integrations.
• Drive cross-functional adoption by influencing stakeholders, establishing best practices, and ensuring teams can effectively leverage platform capabilities.
• Contribute to platform migrations, architecture improvements, and strategic technology initiatives as needed.
  
  

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Requirements

• Bachelor’s degree in Data Analytics, Marketing, Computer Science, Information Systems, or a related field, or equivalent practical experience.
• 6+ years of professional experience in MarTech, analytics engineering, growth engineering, platform management, or related technical disciplines.
• Demonstrated experience owning, administering, or governing enterprise-grade platforms within analytics, marketing technology, experimentation, attribution, or business intelligence environments.
• Hands-on experience with one or more enterprise platforms such as Customer Data Platforms (Segment, mParticle, RudderStack), Tag Management solutions (Google Tag Manager, Tealium, Adobe Launch), Experimentation platforms (Statsig, LaunchDarkly, Optimizely), Attribution platforms (PartnerStack, Impact, Everflow), or Business Intelligence platforms (Sigma, Looker, Tableau).
• Strong understanding of modern data ecosystems, including data collection, instrumentation, transformation, warehousing, and downstream analytics consumption.
• Experience creating governance standards, technical documentation, implementation guidelines, and operational processes.
• Proven ability to drive adoption and alignment across cross-functional teams without direct authority.
• Strong troubleshooting and analytical skills with the ability to balance technical complexity and business impact.
• Comfortable managing ambiguous projects independently in a fast-paced environment.
• Excellent written and verbal communication skills with the ability to collaborate with both technical and business stakeholders.
• Strong organizational skills with the ability to prioritize multiple projects and maintain high performance standards.
• Experience working in regulated industries such as financial services, fintech, or healthcare is preferred.
• Familiarity with Snowflake, dbt, Sigma, Salesforce, cloud data platforms, vendor management, licensing negotiations, or SLA management is a plus.
  
  

Benefits

• Competitive annual salary range of USD $123,500 to USD $142,000.

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• Fully remote work opportunity within the United States.
• Comprehensive medical, dental, and vision insurance benefits.
• 401(k) retirement plan with company match.
• Paid holidays, volunteer time off, sick days, and vacation time.
• 12 weeks of paid parental leave.
• Pre-tax transit benefits.
• No-cost life insurance coverage.
• Voluntary benefits options and employee discount programs.
• Wellness incentive program supporting employee health and well-being.
• Employee mentorship and leadership development opportunities.
• Collaborative, team-oriented environment focused on growth, innovation, and professional development.
• Opportunity to influence enterprise data strategy and build scalable analytics capabilities.
  
  

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.