Define and deliver roadmap and technical requirements for data and analytics capabilities, processes, and tools to enable prioritized use cases across the enterprise.
Scope and prioritize activities based on business and user impact which defines product enhancements for both short-term and long-term.
Gain a deep understanding of end-user needs and experience (internal data consumers), identify and fill product gaps and generate new ideas that grow adoption and improve user experience.
Gather requirements for the Data Technology team on data processing and storage to facilitate a variety of model and analytics use cases such as effective analysis and reporting, data science exploration and model development, and data quality and anomaly detection.
Set and achieve success metrics to meaningfully improve business results, focusing on what success looks like for our internal data consumers and how accessible data and insights could help them deliver enterprise value.
Enforce data quality standards and processes and ensure that data governance policies, data lineage and metadata management are integral components of data product development.
Support the implementation, measurement, and activation of data-driven use cases.
Support the integration of strong data governance, risk, and security controls.
Support the company’s commitment to risk management and protect the integrity and confidentiality of systems and data.
Support the integration of MLOps workflows and data pipelines that enable model deployment and monitoring.
Participate in defining RAG and LLM-based product capabilities.
Ensure basic compliance with model governance, including lineage, metadata, model monitoring, and bias documentation.
Collaborate with AI and MLOps Engineers to support model deployment pipelines on AWS and on-prem technologies.

Requirements

Education and/or experience typically obtained through completion of a bachelor’s degree in STEM or related field.
5+ years' experience or related experience in product management, data management, or consulting with a proven record of high performance, preferably with experience building data and analytics products.
3+ years' experience with direct hands-on responsibility working with data or data teams (data engineers, data scientists, software developers, data analysts, etc.), business stakeholders and end-users.
Strong business intuition and the 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 working with Agile tools such as 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, reviewing, and tuning SQL, Spark, and Python.
Comfort with product analytics and data visualization tools (e.g., Tableau).

Benefits

Healthcare Coverage – Competitive medical (PPO/HDHP), dental, and vision plans as well as company contributions to your Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA) for commuting, health & dependent care expenses.
401(k) Retirement Plan – Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility.
Paid Time Off – Flexible Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day.
12 weeks of Paid Parental Leave
Maven Family Planning – provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.
And SO much more!

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLSparkPythondata processingdata storagedata qualityanomaly detectionMLOpsdata governancedata analytics

Soft Skills

business intuitionproject managementstakeholder managementcommunicationcross-functional collaborationuser experience focusproblem-solvingstrategic thinkingadaptabilityleadership