Back to jobs

Director Software Engineering - Data Platform engineering

Hyderabad, Telangana

Pay
Salary not listed in the saved posting
Work setup
Unconfirmed
Employment
Unconfirmed
Apply at UnitedHealth Group

What you’ll work on

Full posting
  • Own platform adoption, value realization, and business outcomes across Lines of Business through effective use of CDaO data and AI platforms

  • Lead and develop a team of Forward Deployed Engineers (FDEs) responsible for customer engagement, solution design, onboarding, and implementation success

  • Partner with business and technology stakeholders to understand strategic priorities and translate them into scalable platform solutions

From the employer’s posting
Primary Responsibilities: Own platform adoption, value realization, and business outcomes across Lines of Business through effective use of CDaO data and AI platforms Lead and develop a team of Forward Deployed Engineers (FDEs) responsible for customer engagement, solution design, onboarding, and implementation success
Own platform adoption, value realization, and business outcomes across Lines of Business through effective use of CDaO data and AI platforms Lead and develop a team of Forward Deployed Engineers (FDEs) responsible for customer engagement, solution design, onboarding, and implementation success Partner with business and technology stakeholders to understand strategic priorities and translate them into scalable platform solutions
Lead and develop a team of Forward Deployed Engineers (FDEs) responsible for customer engagement, solution design, onboarding, and implementation success Partner with business and technology stakeholders to understand strategic priorities and translate them into scalable platform solutions Collaborate with platform engineering, product managers, and architects to influence platform roadmap priorities based on customer needs and adoption insights

What you’ll bring

All qualifications

Core experience

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related discipline
  • 14+ years of overall experience in software engineering, data engineering, and solution architecture.
  • 4+ years of experience leading platform adoption, customer success, or customer-facing technical teams
  • Deep experience with public cloud platforms including Azure, AWS, and/or GCP, with strong understanding of cloud-native data, analytics, AI/ML, security, networking, and operational architectures
  • Experience managing customer-facing technical teams responsible for adoption, onboarding, implementation success, and business outcome realization
  • Solid understanding of enterprise data and AI platforms such as Databricks, Snowflake, Microsoft Fabric, and modern analytics, AI/ML, and data product ecosystems

Preferred experience

  • Experience delivering AI/GenAI, advanced analytics, data products, modernization, or platform transformation initiatives
  • Experience establishing Centers of Excellence (CoE), platform communities, developer enablement programs, or customer success organizations
  • Experience working with platform product management, FinOps, governance, and enterprise-scale operating models
  • Experience in healthcare, financial services, or other highly regulated environments
Qualification wording
Bachelor's degree in Computer Science, Engineering, Information Systems, or related discipline
14+ years of overall experience in software engineering, data engineering, and solution architecture. 4+ years of experience leading platform adoption, customer success, or customer-facing technical teams
Deep experience with public cloud platforms including Azure, AWS, and/or GCP, with strong understanding of cloud-native data, analytics, AI/ML, security, networking, and operational architectures
Experience managing customer-facing technical teams responsible for adoption, onboarding, implementation success, and business outcome realization
Solid understanding of enterprise data and AI platforms such as Databricks, Snowflake, Microsoft Fabric, and modern analytics, AI/ML, and data product ecosystems
Experience delivering AI/GenAI, advanced analytics, data products, modernization, or platform transformation initiatives
Experience establishing Centers of Excellence (CoE), platform communities, developer enablement programs, or customer success organizations
Experience working with platform product management, FinOps, governance, and enterprise-scale operating models
Experience in healthcare, financial services, or other highly regulated environments

Tools in this posting

  • Python
  • AWS
  • Azure
  • Databricks
  • Google Cloud (GCP)
  • Kubernetes
  • Snowflake
Source — Tool mentions in context
- Experience managing customer-facing technical teams responsible for adoption, onboarding, implementation success, and business outcome realization - Working knowledge of modern engineering and platform technologies including Python, Kubernetes, CI/CD, Infrastructure-as-Code, APIs, and automation frameworks - Solid understanding of enterprise data and AI platforms such as Databricks, Snowflake, Microsoft Fabric, and modern analytics, AI/ML, and data product ecosystems
- 14+ years of overall experience in software engineering, data engineering, and solution architecture. 4+ years of experience leading platform adoption, customer success, or customer-facing technical teams - Deep experience with public cloud platforms including Azure, AWS, and/or GCP, with strong understanding of cloud-native data, analytics, AI/ML, security, networking, and operational architectures - Experience managing customer-facing technical teams responsible for adoption, onboarding, implementation success, and business outcome realization
Preferred Qualifications: - Certification in a cloud platform (AWS, GCP, Azure) - Experience delivering AI/GenAI, advanced analytics, data products, modernization, or platform transformation initiatives
- Working knowledge of modern engineering and platform technologies including Python, Kubernetes, CI/CD, Infrastructure-as-Code, APIs, and automation frameworks - Solid understanding of enterprise data and AI platforms such as Databricks, Snowflake, Microsoft Fabric, and modern analytics, AI/ML, and data product ecosystems - Proven success leading enterprise adoption, customer success, digital transformation, platform modernization, or technology enablement initiatives

Posting record

Report an error
Status in our records
Live
First seen by us
Oct 13, 2026 · 2d ago
Recorded sightings
15
Last seen by us
Oct 14, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

Job description

View original posting ↗

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

 

The Director, Platform Success & Solutions Engineering, is responsible for accelerating business outcomes and value realization through the effective adoption of enterprise data, analytics, and AI platforms across Lines of Business (LOBs). This role partners closely with business and technology leaders to identify opportunities, remove adoption barriers, and ensure platform investments deliver measurable business impact.

 

The position leads a team of Forward Deployed Engineers (FDEs) and collaborates closely with Product Management, Platform Engineering, Architecture, and Operations teams to translate business needs into scalable solutions leveraging CDaO capabilities. The Director serves as the primary bridge between platform capabilities and business outcomes, driving customer success, platform adoption, and organizational transformation.

 

Primary Responsibilities:

  • Own platform adoption, value realization, and business outcomes across Lines of Business through effective use of CDaO data and AI platforms
  • Lead and develop a team of Forward Deployed Engineers (FDEs) responsible for customer engagement, solution design, onboarding, and implementation success
  • Partner with business and technology stakeholders to understand strategic priorities and translate them into scalable platform solutions
  • Collaborate with platform engineering, product managers, and architects to influence platform roadmap priorities based on customer needs and adoption insights
  • Champion modern engineering practices, automation, AI-assisted delivery, and platform best practices to accelerate time-to-value
  • Provide technical leadership and architectural leadership for complex initiatives, ensuring solutions are scalable, secure, reliable, and aligned with enterprise standards
  • Monitor and communicate adoption KPIs, business value realization, customer satisfaction, and optimization opportunities to stakeholders and leadership
  • Drive operational excellence through effective prioritization, resource planning, and execution against strategic objectives and roadmap commitments
  • Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements

Required Qualifications:

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related discipline
  • 14+ years of overall experience in software engineering, data engineering, and solution architecture. 4+ years of experience leading platform adoption, customer success, or customer-facing technical teams
  • Deep experience with public cloud platforms including Azure, AWS, and/or GCP, with strong understanding of cloud-native data, analytics, AI/ML, security, networking, and operational architectures
  • Experience managing customer-facing technical teams responsible for adoption, onboarding, implementation success, and business outcome realization
  • Working knowledge of modern engineering and platform technologies including Python, Kubernetes, CI/CD, Infrastructure-as-Code, APIs, and automation frameworks
  • Solid understanding of enterprise data and AI platforms such as Databricks, Snowflake, Microsoft Fabric, and modern analytics, AI/ML, and data product ecosystems
  • Proven success leading enterprise adoption, customer success, digital transformation, platform modernization, or technology enablement initiatives
  • Demonstrated ability to influence stakeholders and drive business outcomes through technology solutions
  • Proven excellent communication and stakeholder management abilities - comfortable presenting to Sr. leadership
  • Proven ability to navigate ambiguous problems and present solutions in crisp, and clear format

 

Preferred Qualifications:

  • Certification in a cloud platform (AWS, GCP, Azure)
  • Experience delivering AI/GenAI, advanced analytics, data products, modernization, or platform transformation initiatives
  • Experience establishing Centers of Excellence (CoE), platform communities, developer enablement programs, or customer success organizations
  • Experience working with platform product management, FinOps, governance, and enterprise-scale operating models
  • Experience in healthcare, financial services, or other highly regulated environments

 

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

Complete your application on careers.unitedhealthgroup.com. The employer’s form will show what is required.

Already applied? Track this application

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Hyderabad, Telangana

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.