Senior Data Product Manager

6 days ago

New York, New York, United States Early Warning Full time
About the Role

We are seeking a highly skilled Senior Data Product Manager to join our team at Early Warning. As a key member of our organization, you will play a critical role in driving the development of our data products and analytics capabilities.

Key Responsibilities

  • Collaborate with cross-functional teams to translate business needs into technical requirements for data and analytics capabilities.

  • Develop and maintain a roadmap for data and analytics capabilities, prioritizing activities based on business impact and user needs.

  • Gain a deep understanding of end-user needs and identify product gaps, generating new ideas to improve user experience and adoption.

  • Define requirements for data processing and storage to facilitate various analytics use cases, including effective analysis, reporting, data science exploration, and data quality.

  • Set and achieve success metrics to improve business results, focusing on what success looks like for internal data consumers and how accessible data and insights can help them deliver enterprise value.

  • Act as a product evangelist to build awareness, understanding, adoption, and buy-in among stakeholders.

  • Support the company's commitment to risk management and protect the integrity and confidentiality of systems and data, overseeing strong data governance, risk, and security controls.

Requirements

  • Education and/or experience typically obtained through completion of a bachelor's degree in a STEM or related field.

  • 9+ years' experience in product management, data management, or consulting with a proven record of high performance, preferably with experience building data and analytics products.

  • 5+ years' experience with direct hands-on responsibility working with data or data teams, business stakeholders, and end-users.

  • Strong business intuition and technical ability to understand, design, and explain complex product and data strategies to both business and technical audiences.

  • Proficiency with software development methodologies such as Agile and experience working with Scrum teams and Agile tools like Jira.

  • Strong project and stakeholder management with the ability to work effectively with cross-functional teams with diverse skill sets across all levels of the organization.

  • Excellent communications skills, both oral and written.

  • Hands-on experience writing and tuning SQL.

  • Comfort with product analytics and data visualization tools like Tableau and Mixpanel.

  • Background and drug screen.

Preferred Qualifications

  • Master's degree in a STEM or related field.

  • Deep understanding of foundational data and analytics concepts.

  • Proven track record of managing all aspects of a successful product throughout its lifecycle, with experience in launching brand new products.

  • Strong understanding of data management requirements in a regulated industry.

  • Experience working with terabyte-sized datasets.

  • Experience with change management and moving from on-prem to cloud.

  • Hands-on experience with Python or R.

  • Understanding of data science tools and concepts and experience directly enabling data science teams or delivering data science use cases.

  • Experience with Salesforce, Google Analytics, SQL Server, Hive, Spark, SQL, and data architecture tools like HDFS, Aerospike, ElasticSearch, Kafka.

  • Deep understanding of best practices and unique data and analytics requirements across functional areas such as Product, Marketing, Data Science, Finance, Operations.

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