Senior Manager, Data Analytics

North

. Lead the design and delivery of automated data pipelines, standard methodologies for data analytics, database architecture, and strategic insights .

Posted 9/29/2026full-timeRemote • United StatesSenior💰 $145,000 - $173,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading data engineering and business intelligence teams, with a strong focus on developing automated data pipelines, maintaining data integration infrastructure, and implementing CI/CD practices. Proven ability to mentor and coach team members while collaborating with cross-functional stakeholders to enhance data-driven decision-making.

Highest-signal resume keywords

Data EngineeringBusiness IntelligenceSQL CodingETL SolutionsTeam Leadership

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data Pipeline DesignDatabase ArchitectureData AnalyticsCI/CD PracticesVersion ControlData IntegrationTechnical ArchitectureKPI ReportingOperational Health ManagementHands-On Management

Soft Skills

LeadershipMentoringCoachingCommunicationCollaboration

Tools & Technologies

SnowflakeAWSInformatica IICSQlik ReplicateHubSpotUbuntu

Industry Keywords

Data EngineeringBusiness IntelligenceData Integration InfrastructureCustomer AcquisitionFraud Detection

Tech Stack

Tools & technologies

AWSCloudETLInformaticaSQL

About the role

Key responsibilities & impact

Lead the design and delivery of automated data pipelines, standard methodologies for data analytics, database architecture, and strategic insights
Lead and develop a team spanning data engineering, business intelligence, and analysis
Own the operational health of the team's data integration infrastructure
Partner with Sales, Marketing, Operations, and Risk to improve customer acquisition, onboarding, customer service, and fraud detection
Mentor, motivate, coach, and support data engineers, business intelligence engineers, and business intelligence architects
Deliver and maintain data services, interfaces, and real-time data pipelines
Establish CI/CD and GitHub practices for data pipelines and mentor the team toward mature version-control and deployment workflows
Interact with business and technology stakeholders to define future-state capabilities and requirements and translate them into detailed designs
Maintain analytics and data integration platforms with the internal cloud team
Manage integration infrastructure upkeep, including starting and stopping services and installing and testing platform upgrades on Ubuntu servers
Partner with platform architects to analyze the current environment, identify deficiencies, and recommend improvements
Communicate team accomplishments to leadership through KPIs and reporting
Establish long-term strategy and technical architecture and short-term scope for the enterprise data platform

Requirements

What you’ll need

Bachelor’s degree in a related field or equivalent work experience
7+ years of experience in data engineering, business intelligence, or a related domain
4+ years of hands-on management experience with a track record of hiring and growing teams as well as providing coaching and mentoring
Exceptional leadership skills, with a proven ability to operate in a fast-moving environment
Hands-on approach to closing gaps in data infrastructure and technical execution
Ability to code in SQL and experience with ETL solutions (Informatica IICS and Qlik Replicate)
Prior experience with Snowflake, AWS, Qlik Replicate, Informatica IICS, and HubSpot
No sponsorship is available for this position at this time

Benefits

Comp & perks

Medical, Dental, & Vision Coverage
Flexible Paid Time Off
401(k) + Match
Mental Health Support & Well-Being Program
Paid Maternity & Paternity Leave
Education Assistance
Company-funded Lifestyle Spending Account