Senior Manager, Product Analytics (Remote)Senior Manager, Product Analytics (Remote)Senior Manager, Data ScienceReq IDFY25|R&D|#6712Location(s)Atlanta, Georgia, USA; Austin, Texas, USA; Chicago, Illinois, USA; Portland, Oregon, USA; Salt Lake City, Utah, USA;Work arrangement(s)Fully Remote (works exclusively from home), Hybrid (works from home and New Relic office throughout the week)Your opportunityAs the Product Analytics Senior Manager, you will play a crucial role in leveraging data to inform product strategy, optimize user experiences, and drive business growth. You will lead a team of analysts, fostering a culture of data-driven decision-making and continuous improvement. As a hands-on leader, you will lead the technical work on key projects setting standards of excellence in data science, analysis, executive communication and execution for the team. The ideal candidate is a motivated leader who is business oriented as well as technically strong, thriving in ambiguous problem spaces with a strong track record of execution.What you'll do
- Provide technical leadership, including guiding the team on best practices in data analysis, modeling techniques, model monitoring and tool selection
- Lead and manage project initiatives for the Product Analytics team, ensuring alignment with business goals and timely delivery of high-impact results
- Investigate user behavior patterns to identify opportunities for improving product adoption, engagement, and retention of our observability tools
- Develop and implement strategies to build product stickiness and reduce churn, including the creation and tracking of relevant metrics for observability products
- Track KPIs across the product organization and perform root cause analysis on significant changes or anomalies
- Collaborate closely with Data Engineering teams to ensure data quality, accessibility, and efficient pipelines
- Provide strong people management, including performance evaluations, career development planning
- Mentor and upskill team members, fostering their professional growth and enhancing the team's overall capabilities
- Oversee hiring and onboarding processes to build and maintain a high-performing analytics team
- Develop and maintain comprehensive documentation of analytics processes, methodologies, and findings
- Foster a positive team culture that promotes innovation, collaboration, and continuous learning
This role requires
- Minimum of 7 years of experience in advanced Analytics and data science, with a significant portion in leadership roles
- Experience spearheading cross-functional initiatives that impact the entire organization
- Python programming skills for data manipulation, analysis, and DS modeling
- Solid understanding of statistical concepts and their application in business contexts
- Hands-on experience with at least 3 of the following modeling and predictive analytics techniques such as
- Supervised learning: regression, decision trees, random forests, gradient boosting machines (e.g., XGBoost, LightGBM)
- Unsupervised learning: clustering (K-means, hierarchical), dimensionality reduction
- Time series analysis and forecasting methods (ARIMA, Prophet)
- Model evaluation metrics and validation techniques (cross-validation, ROC curves, confusion matrices)
- Some background in model deployment in production and model monitoring
- Strong people management skills, including experience in leading and developing high-performing teams
- Excellent project management skills with experience using tools like Jira and Confluence
- Expertise in data visualization and dashboard creation, particularly with Tableau
- Proficiency in SQL for complex data querying and analysis
- Familiarity with dbt for data transformation and modeling
- Strong data visualization and storytelling abilities to communicate insights effectively
- Experience with Analytics best practices and establishing data governance
- Strong leadership skills, including the ability to motivate and inspire team members
- Proven ability to manage multiple priorities and deliver results in a fast-paced environment
Bonus points if you have
- Experience with cloud-based machine learning services (preferably AWS SageMaker) specially MLOps
- Experience in the observability or APM space
- Familiarity with New Relic's products and services
- Experience with AI/LLM tools for productivity, Analytics and DS
Fostering a diverse, welcoming and inclusive environment is important to us. We work hard to make everyone feel comfortable bringing their best, most authentic selves to work every day. We celebrate our talented Relics' different backgrounds and abilities, and recognize the different paths they took to reach us - including nontraditional ones. Their experiences and perspectives inspire us to make our products and company the best they can be. We're looking for people who feel connected to our mission and values, not just candidates who check off all the boxes.
If you require a reasonable accommodation to complete any part of the application or recruiting process, please visit to submit your request.
We believe in empowering all Relics to achieve professional and business success through a flexible workforce model. This model allows us to work in a variety of workplaces that best support our success, including fully office-based, fully remote, or hybrid.
Our hiring processPlease note that visa sponsorship is not available for this position.
In compliance with applicable law, all persons hired will be required to verify identity and eligibility to work and to complete employment eligibility verification. Note: Our stewardship of the data of thousands of customers' means that a criminal background check is required to join New Relic.We will consider qualified applicants with arrest and conviction records based on individual circumstances and in accordance with applicable law including, but not limited to, the San Francisco Fair Chance Ordinance. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. New Relic does not accept unsolicited headhunter and agency resumes, and will not pay fees to any third-party agency or company that does not have a signed agreement with New Relic.
New Relic is proud to be an equal opportunity employer. We foster a diverse, equitable, and inclusive environment, free from all types of discrimination, so our Relics can thrive. We hire people with different backgrounds, experiences, abilities and perspectives.
Candidates are evaluated based on qualifications, regardless of race, religion, ethnicity, national origin, sex, sexual orientation, gender expression or identity, age, disability, neurodiversity, veteran or marital status, political viewpoint, or other legally protected characteristics.
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Estimated Base Pay Range: $ 180,000 - $ 225,000 The pay range above represents a reasonable estimate of the salary for the listed position. This role is eligible for a corporate bonus plan. Pay within this range varies by work location and may also depend on job-related factors such as an applicant's skills, qualifications, and experience. New Relic provides a variety of benefits for this role, including healthcare, dental, vision, parental leave and planning, mental health benefits, a 401(k) plan and match, flex time-off, 11 paid holidays, volunteer time off, and other competitive benefits designed to improve the lives of our employees.Wage - midpoint225,000Wage - minimum180,000#LI-JH1 #LI-RemoteThis field has no functionality and it was added so that we could display the separator above