Cirrus Insight’s enterprise customer roadmap is heavily dependent on sales intelligence, and Cirrus operational business intelligence is key to achieving company scale and growth plans. This role is designed to develop and oversee the Cirrus data science roadmap, data modeling, and visualization UX which will require oversight of the Cirrus operational BI and a focus on customer lifecycle data pipelines and SaaS key metrics.
This role will work closely with the CEO and CTO for operational analytics initiatives, providing guidance to product management, marketing, sales, and support leadership on data pipeline best practices in order to capture, analyze, and optimize the full Cirrus customer lifecycle and experience. The derived Cirrus SaaS metrics will then be used to optimize the business for growth, pursue funding, and increase our enterprise value. Key learnings and IP development from operational data gaps will be incorporated into the Cirrus product roadmap.Responsibilities
Meet with our growing base of enterprise customers, internal sales and marketing leaders to help drive the vision for new product capabilities and establish priorities.
Working with Director of Product to create and maintain a product roadmap for Data Science and Analytics
Translate product roadmap into behavioral requirements, user stories, and visual mock-ups for the development team to work from
Drive overall customer experience, ACV, and ARR by creating value with sticky capabilities around revenue growth and operational risk.
Drive product development by developing, prioritizing and managing the product backlog with respect to sales and marketing intelligence to ensure we provide our clients with a greater CX
Partner with Sales and Marketing to educate and position new offers to new and existing customers
Assist support and product marketing with knowledge-base documentation
Plan and direct the release of new data science products and features
Partner closely with Dev Ops and Engineering to establish commits and timelines aligned to our overall agile product development process
Ensure consistent delivery of data science projects which can be effectively communicated to customers well in advance of their release date
Develop prototypes and working software for data pipelines and ML models
Provide leadership on data design, system optimization, data science coding/deliverables, and visualization best practices
Manage database administrators, data scientists, and data engineers ensuring they are receiving the training and mentoring necessary to succeed
Recruit and develop a Data & Analytics organization in order to scale the organization as business needs increase to drive incremental value