ApplyDescription
At Springbuk, we’re a team of highly driven, team-oriented self-starters. We work hard and win big while crafting high-energy, inspiring company culture. We aspire to challenge old ways of thinking and impact real change in the healthcare industry. Springbuk is a nationwide company with employees who care about empowering smarter, data-driven healthcare decision-making. We are seeking a driven and innovative Product Manager to bring new product ideas to life related to data quality, data management and data operations.
The Product Manager drives what we’re doing next, and why we’re doing it. We look for realistic optimism, so we want someone who can dream big, focus narrowly, and act quickly. At your core, you are passionate about healthcare data and analytics and are an expert problem solver who gets to an answer with the most amount of information in the least amount of time.
Here’s what you will do:
- Serve as product owner to the data quality engineering team
- Serve as subject matter expert on Springbuk data quality processes, rules, reporting and analytics
- Manage and prioritize the data quality team backlog
- Manage and prioritize the backlog for Salesforce, working closely with the Salesforce administrator and client success and sales teams
- Ensure backlog is aligned with both internal and client needs and priorities
- Support the data quality engineering team in delivering value to internal and external stakeholders
- Lead and facilitate all Agile team ceremonies applicable to product including Sprint demo
- Actively seek and obtain feedback from internal stakeholders and clients
- Document requirements and epics and guide the breakdown of epics into stories and define acceptance criteria for all stories
- Document, analyze and define client and stakeholder needs to drive innovation in data quality and data management capabilities
- Perform gap analysis, including data evaluation, to identify opportunities
- Contribute to the product vision and product roadmap
- Partner with data and methods team members to identify data driven opportunities including areas to apply data science
- Drive alignment and execution across cross-functional teams, including engineering teams and data operations and support
- Create end user and internal documentation on product features
- Lead internal enablement on data quality team features and best practices
- Participate in ad hoc external enablement sessions on data quality
- Translate problems/issues identified during the testing/piloting process, and engage the appropriate stakeholders to help identify impact and potential solutions
- Innovate and pivot quickly based on client data and feedback
- Advocate for, and improve, our client experience, while also making trade-off and prioritization decisions to deliver tangible results quickly
- Be meticulous with everything from intricate feature specs to quality assurance checklists to chasing down nitty-gritty dependencies across complex projects
- Identify and/or establish appropriate testing metrics/targets to validate that business requirements are being met (e.g., performance metrics, process deliverables, traceability, business value)
- Develop a thorough understanding of end users needs thru interviewing, journey mapping and other eliciting techniques
- Understand healthcare industry market forces and analyze market research to identify business drivers that lead to product features
- Strong written and verbal skills with an ability to convey complex ideas very simply
Requirements
A successful candidate will have:
- 5+ years of healthcare data and analytics experience
- 1-3 years of Product Management experience
- Experience using or building SaaS products specifically for the healthcare industry
- Experience in healthcare data management and data quality rules
- Data-driven, result-oriented and pragmatic approach
- Enjoys fast paced environment where change and improvement is important
- Experience with Iterative, Scrum development, and agile methodologies to deliver products and technologies
Not required but a plus:
- Agile Product Management Certification
- Experience with B2B marketplaces
- Experience with healthcare data quality best practices
- Experience with national healthcare data methodologies and aggregations
Here is how you will get ramped up for success:
30 Days:
- Learn about the product, how its value is communicated, and ultimately be able to demonstrate the product to others
- Learn and understand all of the underlying healthcare data types that drive the Springbuk product platform
- Learn all components of the Springbuk data pipeline
- Meet with ProdTech Team Leads
- Understand current concerns and challenges
- Understand their ideas for the future of the role
- Take action where you can fill an immediate need
- Meet with internal business stakeholders (Sales, Client Success, Data Management, Analytic and Strategic Consulting and Implementation teams)
- Understand current concerns and challenges
- Solicit their ideas for product enhancements and where you can add value
- Take action where you can fill an immediate need
- Understand roles and responsibilities on the various engineering and data management teams
- Schedule and complete introductory meetings with the PMA team to assess current product features and opportunities
- Understand the Agile framework and best practices to improve the structure at Springbuk
- Complete understanding of data quality team backlog
60 Days:
- Have a deep understanding of the role and how it fits in Springbuk vision
- Have a deep understanding of the data process from start to finish
- Begin voicing ideas for process improvement or changes
- Running point on sprint events/ceremonies
- Understand how platform program fits in with data engineering and data quality
- Understand data platform programs initiatives and side hustles
- Understand quarterly rocks and company rocks that the platform program is hoping to achieve
- Understand tools being used to support developers, and services and support operations and begin thinking through long range planning for the next iterations
- Understand trends in data quality
- Begin working with peers and prodtech leaders to develop goals for platform and data
- Develop strategy for working with vendors to improve quality
90 Days:
- Have a deep understanding of the role and how it fits in Springbuk vision
- Have a deep understanding of the data pipeline process from start to finish
- Begin voicing ideas for process improvement or changes
- Understand quarterly rocks and company rocks that the platform program is hoping to achieve
- Have a deep understanding of Pendo uses and offer process improvement opportunities such as integrations, tagging metrics, and clean up efforts to improve overall metrics.
Being You at Springbuk:
Springbuk’s goal is to attract and retain diverse talent and provide an inclusive environment for all where everyone’s voice is heard and all employees feel accepted. Springbuk is an equal opportunity employer and we do not discriminate on the basis of race, color, religion, creed, national origin or ancestry, ethnicity, sex (including pregnancy), gender (including gender nonconformity and status as a transgender or transsexual individual), age, physical or mental disability, citizenship, past, current or prospective service in the uniformed services, genetic information, or any other characteristic protected under applicable federal, state, or local law.
