Product Manager- Data Strategy New York City, NY, 10036

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:

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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