Blackbaud is looking for the right candidate to join us as Senior Product Manager, Donor Management. This in an incredibly exciting and important role in the Donor Management Pillar; this product manager will be responsible for the tech stack that enables our data business transformation, driving step-function improvements in customer outcomes, automation, delightful user experiences, and higher product margins.
We're looking for someone with their eyes on the horizon - someone who's able to lay out a big idea and has the drive to make it happen. This individual will be the link between vertical market groups, Centers of Excellence, and our data and application engineering teams. They must understand how to balance customer needs with the needs of the business, demonstrating financial acumen and prudent decision-making.
What you will Do:
- Define and drive a consistent and connected data strategy and lead the development of data products across the product portfolio in collaboration with product managers engineering, and the data science and machine learning teams.
- Write clear and detailed product specifications, user stories, and acceptance criteria for the database system technologies.
- Partner with engineering, design, marketing and sales teams to plan, execute and launch new features and enhancements across product lines.
- Monitor and analyze the performance, usage and feedback of the database system, and use data-driven insights to inform product decisions and improvements.
- Own multiple product initiatives and lead teams from ideation through validation, delivery, and delight.
- Lead the adoption of the data mesh framework throughout the organization and challenge the status quo of how things have been done in the past.
- Communicate and build rapport with stakeholders throughout the product development cycle.
- Provide guidance on the prioritization of product backlogs to guide product teams in developing capabilities.
What you will Bring:
- 5+ years experience within Product Management, with expertise in data strategy and implementation.
- Experience in managing the adoption and maturation of data products and platforms that support machine learning at scale
- Ability to run multiple initiatives and are comfortable interacting with all levels of an organization.
- A pragmatic understanding of technologies, systems, and tools in an ever-changing environment and ability to prioritize and can support your decision-making through data and narrative.
- Experience with agile development practices, methodologies, and tools.
- Experience with ADLS, Microsoft Fabric, and Databricks and other data management and analytics tools is a plus.
Ability to deliver products that meet required standards of quality, security and operability
