Director, Engineering (Data and Intelligence Platform)

Posted Yesterday
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3 Locations
In-Office
135K-237K Annually
Senior level
Analytics • Consulting
The Role
Provide senior technical and organizational leadership for the Data and Intelligence Platform. Build and coach engineering teams, define technical roadmaps, ensure secure scalable cloud-native platform delivery, partner cross-functionally, drive platform modernization, and measure platform health, reliability, and adoption.
Summary Generated by Built In

When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Summary:

In this role, you will provide senior technical and organizational leadership across the Data and Intelligence Platform domain to ensure engineering excellence, delivery capability, and consistent execution. You will develop engineering talent through coaching and performance management, translate enterprise strategy into actionable technical roadmaps, and partner with product, architecture, data science, security, operations, and client teams to deliver secure, scalable, and innovative platform capabilities that support analytics, artificial intelligence, and data-driven decision making.

 

Responsibilities:

 

·       Lead engineering teams through coaching, mentorship, performance management, and career development.

·       Recruit, develop, and retain engineering talent to strengthen organizational depth and capability.

·       Align quarterly and long-term technical roadmaps with enterprise, product, and platform strategies.

·       Partner with product, architecture, and data leaders to guide technical design and dependency management.

·       Establish engineering standards and best practices to support quality, security, scalability, and operational excellence.

·       Lead technical risk assessment, mitigation planning, and resolution of complex technical challenges.

·       Oversee delivery goals, Agile execution, and cross-team coordination for complex initiatives and programs.

·       Guide resource allocation and priority setting in partnership with engineering and product leaders.

·       Communicate progress, risks, and outcomes with client teams and executive leadership.

·       Champion cross-domain collaboration, knowledge sharing, process improvement, and enterprise alignment.

·       Drive modernization of data and intelligence platforms through cloud-native architectures, automation, and platform engineering practices.

·       Support the development of trusted, governed, and reusable enterprise data assets that accelerate innovation and business value.

·       Define and monitor metrics that measure platform health, adoption, reliability, engineering productivity, and operational maturity.

 

Qualifications:

 

·       Relevant degree preferred. Advanced degree preferred.

·       7 or more years of relevant experience required.

·       Demonstrated success operating in a matrixed environment and aligning technical decisions with strategic goals required.

·       Experience leading engineering teams and developing technical talent required.

·       Experience building, scaling, or operating enterprise platform, data, analytics, or shared services engineering teams required.

·       Experience developing and executing technical roadmaps aligned with business and product strategies required.

·       Experience delivering enterprise-scale solutions within public cloud environments, preferably Microsoft Azure required.

·       Strong understanding of modern data architectures, distributed systems, platform engineering, and cloud-native engineering practices required

·       Experience with Databricks, lakehouse platforms, enterprise data platforms, or similar technologies preferred.

·       Experience with AI/ML, analytics platforms, data products, knowledge management, or generative AI initiatives preferred.

·       Experience driving DevOps practices, Infrastructure as Code, CI/CD capabilities, observability, and platform automation preferred.

·       Experience in healthcare, SaaS, or other regulated industries preferred.

·       Strong leadership, communication, coaching, and stakeholder management skills.

 

 

#LI-JB1

#IDS

Estimated Hiring Range:

At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $135,200.00 to $236,600.00.

This position is also incentive eligible.

Vizient has a comprehensive benefits plan! Please view our benefits here:

http://www.vizientinc.com/about-us/careers

Equal Opportunity Employer:   Females/Minorities/Veterans/Individuals with Disabilities

The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

Skills Required

  • 7 or more years of relevant experience
  • Experience leading engineering teams and developing technical talent
  • Experience building, scaling, or operating enterprise platform, data, analytics, or shared services engineering teams
  • Experience developing and executing technical roadmaps aligned with business and product strategies
  • Experience delivering enterprise-scale solutions within public cloud environments, preferably Microsoft Azure
  • Strong understanding of modern data architectures, distributed systems, platform engineering, and cloud-native engineering practices
  • Demonstrated success operating in a matrixed environment and aligning technical decisions with strategic goals
  • Strong leadership, communication, coaching, and stakeholder management skills
  • Relevant degree
  • Advanced degree
  • Experience with Databricks, lakehouse platforms, enterprise data platforms
  • Experience with AI/ML, analytics platforms, data products, knowledge management, or generative AI initiatives
  • Experience driving DevOps practices, Infrastructure as Code, CI/CD, observability, and platform automation
  • Experience in healthcare, SaaS, or other regulated industries

Vizient Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Vizient and has not been reviewed or approved by Vizient.

  • Leave & Time Off Breadth Time off allowances are generous, with ample PTO and holidays available from day one. Separate paid volunteer days add additional protected time away.
  • Flexible Benefits Flexibility to work from anywhere for part of the year and hybrid options support work-life balance. Policies enabling remote periods complement the broader PTO structure.
  • Retirement Support Retirement benefits include a competitive 401(k) company match alongside HSA contributions on eligible plans. These elements strengthen long-term financial security within the total rewards package.

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The Company
HQ: Irving, TX
5,661 Employees
Year Founded: 1977

What We Do

Vizient, Inc., the nation’s largest health care performance improvement company, serves more than 50% of the nation’s acute care providers, which includes 97% of the nation’s academic medical centers, and more than 20% of ambulatory care providers. Vizient provides expertise, analytics and advisory services, as well as a contract portfolio that represents more than $130 billion in annual purchasing volume. Vizient is based in Dallas and has offices in 20 metropolitan areas across the United States. We have 4,000 employees with a breadth of expertise, experience and compassion, who are eager to develop and implement solutions that advance health care for the greater good.

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