Senior Manager – Data Analytics

We’re 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 work—work that changes the world—is what the tech industry was founded on. So, if you're 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 enterprise-scale data science and analytics
initiatives, focused on activating curated datasets and modernizing the organization's 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 high-impact 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 large-scale data processing with high
reliability and performance
 Model Development:Oversee development of ML/AI-driven predictive and prescriptive models
with a focus on operationalization.
 Big Data Strategy: Drive scalable analytics solutions using Spark, Hadoop, Snowflake, S3, and
cloud-native 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 long-term 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 team’s 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  with 10+ years of relevant experience in Data Science , Statistics,
operational research or related field.
 Hands-on 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/Visualization tools such as Tableau, Looker, or Power BI.
 Experience working with cross-functional business units
 Background in building and leading enterprise-level 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 Fortune's Best Large Workplaces in the Bay Area™, Fortune's 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 company-sponsored team events. Check out purebenefits.com 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 TA-Ops@purestorage.com if you’re invited to an interview.

WHERE DIFFERENCES FUEL INNOVATION:

We’re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn’t just accepted but embraced. That’s 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 don’t match all of the role criteria. If you think you can do the job and feel you’re a good match, please apply.