Senior Principal Engineer, Analytics & Reporting

Thank you for considering Progyny!

The Senior Principal Engineer role embodies the responsibility of a “spirit guide” for the advancement of the Analytics and Reporting technology practices & solutions. This role ensures that utilization of related technologies in the organization is applied with a consistent understanding of the pragmatic balance of “Perfect” vs. “Good enough”, weighing the constraints of available skills, resource availability, cost, and time-to-market commitments. A Senior Principal Engineer is actively/directly involved in developing foundational assets with that technology against emerging business needs but with a primary objective of educating others to evolve further with sustainability in mind. This role will also be called upon to inform & educate business stakeholders on that technology domain and is expected to get involved and stay aware of industry updates and latest developments to guide company or partner implementations strategically.

Success in this role is measured by the following:

• Deep knowledge on Analytics and Reporting technology options and relevance/benefit to Progyny increasing organizational awareness of ‘what is possible’ and ‘how it benefits stakeholders’

• The implementation of your technical guidance provides measurable value benefits (operational efficiency, risk reduction, strategic positioning, etc.)

• Technology implementation guidelines and active curation of impacted assets meets or exceeds identified functional & nonfunctional requirements

• Is regarded by engineering organization and extended stakeholders as a domain expert and effective collaborator, being actively sought-out for their expertise and support

• Knowledge benchmarks for relevant technology teams are measurably improved

What you’ll do…

• Develops technical roadmaps in conjunction with engineering leadership

• Actively influences technology strategy on data, reporting/business intelligence, and analytics technology domains for the organization

• Provide technical thought leadership of new or evolution to existing platform for discipline through ideation, design, and initial implementation

• Documents and defines technology implementation/practice guidelines

• Supports implementation planning for technical implementation with program/project management to set delivery expectations

• Mentors internal and external implementation stakeholders on ‘best fit’ and ‘appropriate use’ of technology to meet business objectives

• Maintain awareness of relevant industry and vendor roadmaps updates and knowledge-sharing events to maintain up-to-date awareness for organization

• Evaluates and monitors the current utilization of specific technologies for ‘drift’ from strategy and drives realignment to shared best practices & implementation guidelines

• Leads evaluation of solutions with balanced understanding of non-functional quality goals (ISO 25010 / Q42) against cost/implementation constraints

• Leads learning sessions (lunch and learn, conference debriefs, tech talks, etc.) with both technical stakeholders and broader corporate community as relevant

• Participates in relevant industry conference/working groups to act as bidirectional ‘ambassador’ on shaping effective technical roadmap

About you…

• Proven experience working as expert-level hands-on technology advocate for data systems, analytics, and business intelligence/reporting

• Familiarity with Data Warehousing models, Data Lakes and Data LakeHouse models, and the underlying technologies of each

• Proven experience and moderate-to-large scale implementation of data analytics streaming/processing models (example: Lambda and Kappa architectures) on various technologies

• Experience in the implementation of data quality and management tools and practices

• Working knowledge of various business intelligence platforms (Looker, PowerBI, Tableau, etc.) and post-launch benefits or opportunities

• Current working experience with Python on various data functions (Datagram, ELT/ETL, Notebook, etc.)

• Working experience with moderate-to-large distributed engineering teams and history in a cross-team thought leadership role

• Healthcare administrative experience and familiarity with common business reporting requirements (population health management, financial audit, claims models).

• Cloud provider experi