Senior Manager Data Analytics
Senior Manager Data Analytics
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Job Description
Were in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here you lead with innovative thinking grow along with us and join the smartest team in the industry.
This type of workwork that changes the worldis what the tech industry was founded on. So if youre ready to seize the endless opportunities and leave your mark come join us.
About the Role:
We are seeking a Senior Manager Data & Analytics to lead enterprisescale data science and analytics
initiatives focused on activating curated datasets and modernizing the organizations data infrastructure.
This role will lead the strategy design and implementation of scalable analytics models in partnership with
our enterprise data warehouse and big data platforms. The ideal candidate will combine deep technical
expertise in data science and engineering with the business acumen to influence senior stakeholders and
drive highimpact decisions.
Key Responsibilities:
Team Management :Direct and mentor the data science team to design build and deploy advanced
analytics models and solutions
Data Pipeline :Design scalable pipelines and workflows for largescale data processing with high
reliability and performance
Model Development:Oversee development of ML/AIdriven predictive and prescriptive models
with a focus on operationalization.
Big Data Strategy: Drive scalable analytics solutions using Spark Hadoop Snowflake S3 and
cloudnative big data architectures
Code Optimization: Supervise automation and optimization of data integration and analysis
workflows using SQL Python and modern tools
Cloud Management: Manage datasets on Snowflake and similar platforms with emphasis on
governance and best practices.
Model Maintenance: Define practices for model monitoring retraining and documentation to
ensure longterm relevance and compliance.
Stakeholder Engagement: Collaborate with stakeholders to understand needs prioritize projects
and create solutions that drive measurable outcomes
Continuous Improvement: Champion innovation by integrating emerging technologies and
techniques into the teams toolkit.
Drive a culture of continuous improvement by staying abreast of advancements in data science and
integrating innovative methods into workflows.
Mentorship: Foster growth collaboration and knowledge sharing within the data science team and
across the broader analytics community.
Basic Qualifications
Masters OR Ph.D. with 15 years with10 years of relevant experience in Data Science Statistics
operational research or related field.
Handson experience with machine learning models both supervised and unsupervised in large
scale production settings
Proficiency in Python SQL and modern ML frameworks.
Extensive experience with big data technologies such as Hadoop Spark MapReduce and
Snowflake.
Track record of translating data into business impact and influencing senior stakeholders.
Strong foundation in data modeling and governance aligned with data warehouse best practices.
Excellent written and verbal communication skills.
Preferred Qualifications:
Experience with orchestration tools (e.g. Airflow dbt).
Familiarity with BI/visualizationtools such as Tableau Looker or Power BI.
Experience working with crossfunctional business units
Background in building and leading enterpriselevel data science or advanced analytics programs.
Understanding of ethical implications and governance practices related to data science and ML.
WHAT YOU CAN EXPECT FROM US:
- Pure Innovation: We celebrate those who think critically like a challenge and aspire to be trailblazers.
- Pure Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been Named Fortunes Best Large Workplaces in the Bay Area Fortunes Best Workplaces for Millennials and certified as a Great Place to Work!
- Pure Team: We build each other up and set aside ego for the greater good.
And because we understand the value of bringing your full and best self to work we offer a variety of perks to manage a healthy balance including flexible time off wellness resources and companysponsored team events. Check out for more information.
ACCOMMODATIONS AND ACCESSIBILITY:
Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this contact us at if youre invited to an interview.
WHERE DIFFERENCES FUEL INNOVATION:
Were forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isnt just accepted but embraced. Thats why we are committed to fostering the growth and development of every person cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership. At Pure Storage diversity equity inclusion and sustainability are part of our DNA because we believe our people will shape the next chapter of our success story.
Pure Storage is proud to be an equal opportunity employer. We strongly encourage applications from Indigenous Peoples racialized people people with disabilities people from gender and sexually diverse communities and people with intersectional identities. We also encourage you to apply even if you feel you dont match all of the role criteria. If you think you can do the job and feel youre a good match please apply.
Required Experience:
Senior Manager
Employment Type
Full Time
