Lead Cloud
7 days ago
**Instructions for interested applicants**
**Where you would add value**
The role entails designing a reusable sustainable framework to ensure collection, processing and availability of high-quality health care data to enable us to achieve the core purpose.
**How you would make a difference**
- Lead development and production deployment of enterprise-level analytic data products (also potentially pilots and proof of concepts), determining appropriate design strategies and methodologies.
- Find creative solutions to challenging problems involving factors with potentially broad implications; reflecting on solutions, measuring impact, and using that information to ideate and optimize.
- Develop business partnerships and influence priorities by identifying solutions that are aligned with current business objectives and closely follow industry trends.
- Communicate with partners, describing technology concepts in ways the business can understand, documenting initiatives in a concise and clear manner, and empathetically and actively listening to other’s thoughts and ideas.
- Partner with data management & information security colleagues to ensure the protection of highly sensitive datasets.
- Maintain relationships with partner teams to ensure needs are met and impacted areas plan work accordingly.
- Present analysis and recommendations to help influence strategic decisions.
- Lead and take action, inspire and motivate others, and be effective at influencing team members.
- Guide and coach team members, focusing on individual’s professional development as well as overall team health and technical proficiency.
**What you need to be successful**
- Preferably 10+ years of work experience building, managing, and leading high-performing, diverse, collaborative, and geographically distributed data engineering teams.
- Demonstrated ability as a strategic technical partner, working collaboratively with data analytics, data science, product, engineering, and other cross-functional partners, to plan, prioritize, and achieve company goals.
- Experience starting, leading, and evolving technical forums, with effective soft skills, as well as representing data engineering and architectural considerations in cross-team settings.
- Experience developing and nurturing data engineering talent, including implementing training, upskilling, and mentorship plans.
- Expert-level engineering, architecture, and system design knowledge, with strong computer science fundamentals
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