Senior Director - Data Engineering (20-25 yrs)

"Open only for Diversity(Women) Candidates"

Primary Responsibilities

- Define strategy and outcomes for UHC's data platform, linking business problems and goals to the roadmap

- Drive innovation in data management and cloud technologies to support data sharing and reuse

- Collaborate with senior leadership to align data platform initiatives with broader organizational objectives

- Oversee architecture, design, and implementation of platform capabilities to support consistency, security, interoperability, and quality of data on the platform

- Lead complex data platform projects from conception through delivery, ensuring timely and successful completion

- Align enterprise architecture direction and solutions with business strategies.

- Performs two functions : Outcome based E2E architecture & Platform Capability based strategic architecture

- Drive the Data Architecture Review Board, managing intake, documenting decisions and guiding teams to preferred data assets and the target state architecture for analytics and reporting.

- Decision maker for the identification/prioritization of solutions from the various options provided by teams, and final recommendation from multiple solution options

- Stay current with emerging trends and technologies in cloud computing, data engineering, and data security practices

- Identify, document and publish architecture and implementation best practices and standards.

- Partner with UHC data domain owners and technical owners to understand roadmaps, data use cases and challenges.

- Identify areas of reuse and consolidation across data assets, driving towards simplification and cost reduction.

- Collaborate with data engineering teams and business consumer to create reusable frameworks to enable federated development and uniformity on analytic and reporting implementations.

- Make recommendations around whether to maintain, invest, scale or sunset data assets based on strategy, cost benefit analysis, and usage.

- Establish processes for architecture reviews and decision-making to streamline time to decision and enable higher velocity for delivery.

- Provide hands-on technical leadership in cloud data technologies

- Lead, mentor, and develop a high performing team of data engineers and architects

- Foster a culture of continuous learning, collaboration, and innovation within the team

Required Qualifications :

- Bachelor's degree in management information systems, Data Science, Computer Science, or related field (Masters degree preferred)

- 12+ years experience in data management, data analytics, data engineering, or related field

- 10+ years healthcare industry experience

- Excellent written and verbal communication, leadership, and strategic thinking skills.

- Proven experience in a leadership role, managing teams and large scale projects

- Proven use of Agile methodologies in delivering technology solutions, managing budgets, quality, and timelines to successful completion

- Demonstrated ability to understand and communicate technical concepts, schedule tradeoffs, and opportunistic ideas with technical and non-technical stakeholders effectively

- High attention to detail including ability to manage multiple, competing priorities simultaneously

- Demonstrated ability to work within a highly regulated environment, preferably healthcare technology.

- Pro-actively identifies patterns in issues and researches root-cause to provide better clarity in defining highly complex problems. Aligns problems to platform opportunities.

- Strong analytical, project management and problem-solving skills

- Strong understanding of data architecture, data warehousing, ETL, and cloud technologies