Principal Software Product Manager, Data

The Job At Omnidian, our technology is critical to the success of the company, and Software Product Managers are critical to developing the technology that drives that success. Product Managers define our technology needs and drive alignment with cross-functional teams and business lines. They translate business goals into well researched, concrete solutions that can be delivered by Engineering and that produce measurable business value. We are seeking a highly motivated and experienced Principal Software Product Manager - Data to lead the development and delivery of cutting-edge data products. In this role, you will collaborate closely with Data Science, Data Management, other Product Managers and Software Engineering to conceptualize, build, and scale innovative products. You will also be responsible for driving initiatives related to data metrics and analytics, ensuring that both internal teams and clients can leverage actionable insights for decision-making.

What You'll Do

• At Omnidian we believe in trust and autonomy. How you create an impact is ultimately up to you. Here is an outline of some of the things you’ll be doing:
• Data Product Development: Collaborate across Data Science, Data Management, Product and UX, Engineering and Operations to research, design, develop, and launch new data-driven products in alignment with the company’s strategic objectives.
• Product Documentation: Create clear documentation for product features, including use cases, business processes, data flows and functional specifications.
• Communication: Serve as the key point of contact between technical teams, senior leadership, and external stakeholders for all data product-related updates, and keep stakeholders informed throughout each project lifecycle.
• Domain Product Strategy & Roadmap: Partner with Data Science, Data Management and Product on thought-leadership for direction of data products. Create detailed roadmaps and prioritize product features in line with business goals, client needs and long term technology vision.
• Metric-driven Product Enhancements: Lead efforts to define and implement key performance indicators (KPIs). Enable data-driven decision-making by ensuring metrics are effectively integrated into products. Define and track success metrics for each project, and use analytics from feature performance to inform future decisions.
• Client Engagement: Gather feedback from clients to understand their data needs and challenges. Ensure that our products meet client expectations, drive value, and provide clear, actionable insights.
• Project Management: Drive the product development lifecycle from ideation through to launch, ensuring timelines and deliverables are met. Maintain a project management system that is usable and understandable. Identify and mitigate risks, and remove roadblocks to the efficient delivery of business value
• Market Research & Trend Analysis: Stay updated on the latest trends in data analytics, data science, machine learning, and AI, as well as competitive products. Incorporate these insights into product strategies to maintain a competitive edge.

Who You Are

• You understand technology and specifically data models, data structures, metrics, and ML/AI, and how it can be leveraged for scale and business impact
• You are a diplomat with a strong product mindset and good listening skills 
• You lead with empathy and curiosity, not ego
• You can internalize user needs and pain points as you translate them into technology solutions 
• You are comfortable working in a fast-pace, rapidly evolving growth-stage environment
• You are a strong collaborator who can drive and deliver projects without clear and explicit direction
• You can understand the big picture but also get into the weeds to understand details
• You are comfortable navigating conflict and ambiguity, where the path forward is not clearYou have excellent written and verbal communication

Experience You’ll Need

• 10+ years of software product management experience, preferably with a focus on metrics, data products and/or machine learningBachelor’s or Master’s Degree in a relevant field. MBA or equivalent experience is a plus.
• Experience writing functional specifications and product briefs
• Experience conducting user research
• Strong understanding of data structures, data governance, machine learning concepts, data science workflows, and the ability to communicate with technical and non-technical teams
• Proven experience in defining and tracking data metrics to drive product decisions and improve business outcomes
• Experience in working with cross-functional teams
• Strong analytical skills, with the ability to use data to drive decisions and to ide