Demo

Product Manager - Data Solutions and Analytics

Cornerstone
Bloomington, IN Full Time
POSTED ON 12/31/2024
AVAILABLE BEFORE 1/29/2025
Position Summary

We are seeking an experienced Product Manager – Data Solutions & Analytics to lead and support the development of our innovative data management and analytics platform, designed to empower clients with actionable insights through comprehensive data integration, analysis, and reporting capabilities. This role will also provide critical product support for an advanced travel data platform, working closely with cross-functional teams to enhance data acquisition, quality management, and insights generation. The ideal candidate will bring a blend of technical expertise, strategic vision, and hands-on product management experience, with a focus on driving data-centric product value.

Key Responsibilities

  • Platform Strategy & Roadmap Development: Define and execute the product roadmap for data integration, management, and analytics solutions, aligning with customer needs and business goals. Prioritize feature development based on market trends, customer feedback, and data-driven insights.
  • Data Integration & Quality Management: Oversee initiatives that enable the seamless ingestion, standardization, and transformation of diverse data sources, ensuring data quality, consistency, and reliability across the platform.
  • Customer Engagement & Market Analysis: Engage with clients, analyze user feedback, and monitor industry trends to understand the evolving needs of the market. Use these insights to identify new opportunities and prioritize features that enhance product functionality and value.
  • Cross-Functional Collaboration: Work closely with engineering, data science, and UX teams to deliver high-quality products. Serve as a liaison between technical and business teams to ensure alignment and facilitate effective communication.
  • Analytics & Reporting Features: Guide the development of advanced analytics and reporting capabilities that offer deep insights into operational data, empowering users to make data-driven decisions. Develop a framework for creating and delivering metrics, benchmarks, and visualizations that highlight platform value.
  • Security & Compliance Oversight: Ensure that all data solutions are developed with the latest industry standards for security, privacy, and compliance in mind. Collaborate with security and legal teams to maintain compliance with data protection regulations.
  • Product Launch & Go-To-Market Strategy: Lead product launches and work closely with sales, marketing, and customer success teams to develop messaging, support materials, and customer training resources. Drive adoption and ensure clients realize the full potential of the platform.

Qualifications

  • Technical Knowledge: Solid understanding of data management platforms, data integration pipelines, and cloud data warehousing solutions (e.g., Snowflake, Redshift). Familiarity with tools for data transformation and analytics.
  • Product Management Expertise: At least 5 years of product management experience with a focus on data platforms, analytics products, or SaaS-based technology. Strong background in developing product roadmaps and guiding cross-functional teams.
  • Customer-Centric Mindset: Proven ability to gather and synthesize customer feedback into actionable insights and product improvements.
  • Analytical Skills: Experience with data analytics and reporting tools; understanding of KPIs, metrics, and reporting needs for data-centric platforms.
  • Project Management & Agile Methodologies: Proficiency in Agile project management, including tools like Jira, to enhance team productivity and product alignment.
  • Collaboration & Communication: Exceptional communication skills, with the ability to clearly convey product vision and technical details to both technical and non-technical stakeholders.
  • Education: Bachelor's degree in Business, Computer Science, Data Science, or a related field; advanced degrees are a plus.

Preferred Experience

  • Familiarity with travel or expense data platforms, business intelligence applications, or similar data-intensive environments.
  • Experience working in a B2B SaaS environment with a focus on data-driven products.

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