Senior Manager Product Analytics Data science
Senior Manager Product Analytics Data science
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Job Description
Your opportunity
As 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 datadriven decisionmaking and continuous improvement. As a handson leader you will lead the technical work on key projects setting standards of excellence in data science analysis executive communication and 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 .
What youll 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 highimpact 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 teams overall capabilities
- Oversee hiring and onboarding processes to build and maintain a highperforming 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 3 years of experience in People management.
- Minimum of 9 years of experience in advanced Analytics and data science with a significant portion in leadership roles
- Experience spearheading crossfunctional 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
- Handson 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 (Kmeans hierarchical) dimensionality reduction
- Time series analysis and forecasting methods (ARIMA Prophet)
- Model evaluation metrics and validation techniques (crossvalidation ROC curves confusion matrices) * Some background in model deployment in production and model monitoring
- Strong people management skills including experience in leading and developing highperforming 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 fastpaced environment
Bonus points if you have
- Experience with cloudbased machine learning services (preferably AWS SageMaker) specially MLOps
- Experience in the observability or APM space
- Familiarity with New Relics products and services
- Experience with AI/LLM tools for productivity.
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. Were 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 reach out to .
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 officebased fully remote or hybrid.
Our hiring process
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 theSan 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 thirdparty agency or company that does not have a signed agreement with New Relic.
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.
Review our Applicant Privacy Notice athttps://newrelic/termsandconditions/applicantprivacypolicy
Required Experience:
Senior Manager
Employment Type
Full Time
