Senior Manager - Data Analytics
- Pure Storage
- 15 - 20 years
- Bengaluru
- 21 days ago
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Job Description
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 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 high-impact decisions.
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.
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.
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 (eg, Airflow, dbt).
Familiarity with BI/Visualizatio n 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.
Experience with orchestration tools (eg, Airflow, dbt).
Familiarity with BI/Visualizatio n 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 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
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Business Intelligence & AnalyticsRole: Business Intelligence & Analytics - OtherEmployement Type: Full timeContact Details:
Company: Pure StorageLocation(s): Bengaluru+ View Contact
Keyskills: advanced analytics Automation Team management data science Data modeling Machine learning Continuous improvement Monitoring SQL Python
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