Product Manager- Data Strategy New York City, NY, 10036
- Executive Staff Recruiters Healthcare
- 11/30/19
- New York City, NY
- 10036
- Full-Time
Product Manager- Data Strategy New York City, NY, 10036 REF
Description:
seeking a pivotal Product Manager within Data Strategy to position its data assets for better user experiences across existing teams in analytics, advisory and business intelligence while also expanding use cases for new products in insights and machine learning.
Responsibilities
Coordination of a large scale but iterative data inventory program across a variety of departments, regions, databases and data type
Selection, configuration and roll-out of a global data cataloging and governance solution
Partnering with data engineering leads to support the build out an ETL framework into a unified data lake for historical and future datasets
Contribute to a variety of additional data strategy initiatives such as data acquisition processes, data sharing technologies, monitoring applications, entity resolution solutions and the construction of internal knowledge graphs
Participate in or lead the full product lifecycle for designated product areas, including research, scoping, prototyping, validation, productizing, and rollout. This includes management of blockers, dependencies, and risk factors across engineers, data scientists and analysts
Understand the key value drivers for your product areas and demonstrate progress against success metrics to ensure our products are delivering value as expected
Collaborate with product stakeholders across the development lifecycle communicating the overall product vision, incremental progress and changes in performance metrics
Build internal documentation, supporting processes, and presentations around product specifications and capabilities
Conduct market research and monitor competition to generate insights that can guide product roadmap and future opportunities within data strategy
Requirements
5+ years of professional work experience
2+ years of experience in a product management role, preferably at a data company
Bachelors degree required in a quantitative discipline such as computer science, engineering, mathematics or physics
Experienced and enthusiastic working with data in a variety of manners spanning proficiencies in Excel, SQL, API requests and basic scripting in Python or R.
Familiar with agile development principles
Excellent communication skills. Be comfortable talking with technologists, stakeholders, clients and executives, both in-person and remote. Write clearly and succinctly. Listen well.
Conversant about technology and understand the effort required to deliver enterprise grade platforms, with a focus on data quality
Comfortable working at a high level, down to the lowest levels including writing JIRA tickets and providing support if necessary
Leadership skills, client-facing experience and the ability to influence internal and external stakeholders
Experience with documentation management and maintenance
Preferred Qualifications
Experience with cloud technologies such as AWS / Google Cloud / Microsoft Azure
Familiarity with Spark concepts such as SparkSQL, dataframes, RDDs and cluster management
Knowledge of data science platforms such as Databricks and DataRobot
About job
Compensation:
View Salary
Referral reward:10% of base salaryJob type:Direct hireJob function:Information TechnologyIndustry:InsuranceExperience level:Mid-seniorEducation level:Bachelors degreeJob classification:ProfessionalLocation:New York, NYZip code:10036Skills:Python, R, Excel, SQL, SparkSQL, Databricks, DataRobot, Data Strategy, Data Analytics, Business IntelligenceExperience required:5 YearsRelocation assistance:NoVisa requirement:Only US citizens and Greencard holdersNumber of positions:1
Description:
seeking a pivotal Product Manager within Data Strategy to position its data assets for better user experiences across existing teams in analytics, advisory and business intelligence while also expanding use cases for new products in insights and machine learning.
Responsibilities
Coordination of a large scale but iterative data inventory program across a variety of departments, regions, databases and data type
Selection, configuration and roll-out of a global data cataloging and governance solution
Partnering with data engineering leads to support the build out an ETL framework into a unified data lake for historical and future datasets
Contribute to a variety of additional data strategy initiatives such as data acquisition processes, data sharing technologies, monitoring applications, entity resolution solutions and the construction of internal knowledge graphs
Participate in or lead the full product lifecycle for designated product areas, including research, scoping, prototyping, validation, productizing, and rollout. This includes management of blockers, dependencies, and risk factors across engineers, data scientists and analysts
Understand the key value drivers for your product areas and demonstrate progress against success metrics to ensure our products are delivering value as expected
Collaborate with product stakeholders across the development lifecycle communicating the overall product vision, incremental progress and changes in performance metrics
Build internal documentation, supporting processes, and presentations around product specifications and capabilities
Conduct market research and monitor competition to generate insights that can guide product roadmap and future opportunities within data strategy
Requirements
5+ years of professional work experience
2+ years of experience in a product management role, preferably at a data company
Bachelors degree required in a quantitative discipline such as computer science, engineering, mathematics or physics
Experienced and enthusiastic working with data in a variety of manners spanning proficiencies in Excel, SQL, API requests and basic scripting in Python or R.
Familiar with agile development principles
Excellent communication skills. Be comfortable talking with technologists, stakeholders, clients and executives, both in-person and remote. Write clearly and succinctly. Listen well.
Conversant about technology and understand the effort required to deliver enterprise grade platforms, with a focus on data quality
Comfortable working at a high level, down to the lowest levels including writing JIRA tickets and providing support if necessary
Leadership skills, client-facing experience and the ability to influence internal and external stakeholders
Experience with documentation management and maintenance
Preferred Qualifications
Experience with cloud technologies such as AWS / Google Cloud / Microsoft Azure
Familiarity with Spark concepts such as SparkSQL, dataframes, RDDs and cluster management
Knowledge of data science platforms such as Databricks and DataRobot
About job
Compensation:
View Salary
Referral reward:10% of base salaryJob type:Direct hireJob function:Information TechnologyIndustry:InsuranceExperience level:Mid-seniorEducation level:Bachelors degreeJob classification:ProfessionalLocation:New York, NYZip code:10036Skills:Python, R, Excel, SQL, SparkSQL, Databricks, DataRobot, Data Strategy, Data Analytics, Business IntelligenceExperience required:5 YearsRelocation assistance:NoVisa requirement:Only US citizens and Greencard holdersNumber of positions:1
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