Technical Solutions Manager

Microsoft Microsoft · Big Tech · Reno, NV +1 · Technical Solution Management

The Technical Solutions Manager operates at the intersection of business operations, data, and engineering, supporting emerging non-standard scenarios including AI platform partner motions. This role relies on developing deep program and progress expertise to translate complex operational, billing, and compliance requirements into durable, scalable solutions through a balanced model of hands-on solution development and close partnership with Engineering and Data Engineering teams.

What you'd actually do

  1. Build and scale processes, capabilities, and targeted solutions that enable the future growth of strategic partnerships and complex cloud workloads.
  2. Translate operational, billing, compliance, and stakeholder requirements into clear solution designs, requirements, and delivery plans.
  3. Design and deliver fit-for-purpose solutions using existing Microsoft platforms, tools, workflows, and data capabilities where appropriate.
  4. Partner with Engineering and Data Engineering teams to shape requirements, prioritize engineering-backed capabilities, and integrate solutions into durable platform paths.
  5. Balance speed, control, supportability, and long-term platform alignment when evaluating solution options and implementation approaches.

Skills

Required

  • Program and progress expertise
  • Translate complex operational, billing, and compliance requirements
  • Hands-on solution development
  • Partnership with Engineering and Data Engineering teams
  • Deep program and progress expertise
  • Translate complex operational, billing, and compliance requirements
  • Durable, scalable solutions
  • Balanced model of hands-on solution development
  • Close partnership with Engineering and Data Engineering teams
  • Connect business context and technical execution
  • Build targeted capabilities
  • Shape, influence, and accelerate engineering-delivered solutions
  • Partner with Engineering, Data Engineering, Finance, Sales, and Operations stakeholders
  • Define clear requirements
  • Design fit-for-purpose solutions
  • Drive prioritization of engineering-backed capabilities
  • Ensure alignment with enterprise architecture, data standards, and long-term platform direction
  • Ownership of end-to-end operational solution integrity
  • Ensure data flows, system integrations, and workflows are reliable, governed, supportable, and optimized for scale
  • Integrate solutions across the breath of 4P framework (People, Process, Policy, and Platform)
  • Strong technical judgment
  • Business acumen
  • Ability to influence without authority
  • Credibility across both business and engineering stakeholders
  • Balance hands-on solution development with strategic partnership
  • Drive outcomes that are scalable, supportable, and aligned to Microsoft's long-term technical ecosystem
  • Build and scale processes, capabilities, and targeted solutions
  • Enable the future growth of strategic partnerships and complex cloud workloads
  • Translate operational, billing, compliance, and stakeholder requirements into clear solution designs, requirements, and delivery plans
  • Design and deliver fit-for-purpose solutions using existing Microsoft platforms, tools, workflows, and data capabilities
  • Partner with Engineering and Data Engineering teams to shape requirements, prioritize engineering-backed capabilities, and integrate solutions into durable platform paths
  • Balance speed, control, supportability, and long-term platform alignment
  • Evaluate solution options and implementation approaches
  • Act as the connective layer between business stakeholders and technical teams
  • Ensure operational scenarios are well understood and translated into actionable requirements
  • Collaborate with Engineering, Data Engineering, Finance, Sales Operations, Compliance, and business planning stakeholders
  • Deliver scalable, compliant outcomes
  • Drive visibility into technical dependencies, solution tradeoffs, delivery risks, platform constraints, and operational readiness needs
  • Support migration of repeatable or high-impact capabilities into engineering-owned systems and services
  • Serve as a trusted advisor on data sources, system dependencies, data flows, and operational impacts
  • Identify opportunities to simplify, standardize, and automate high-impact CSO workflows
  • Maintain compliance and operational control
  • Understand the controls that drive compliant execution
  • Provide direction to stakeholders designing new operational models or business capabilities
  • Ensure policies, processes, documentation, and runbooks are maintained
  • Assess technical debt, platform risk, data reliability, and supportability gaps
  • Recommend mitigation plans or durable improvements
  • Communicate effectively across all levels, including senior stakeholders
  • Drive alignment, decision-making, and execution
  • Manage operational readiness and lifecycle needs for production CSO solutions
  • Maintain secure connections and access models for external data sources and commonly used CSO platforms
  • Partner on service management activities
  • Create and maintain documentation for key data

What the JD emphasized

  • AI platform partner motions
  • complex cloud workloads
  • operational, billing, compliance, and stakeholder requirements
  • Engineering and Data Engineering teams
  • enterprise architecture, data standards, and long-term platform direction
  • data flows, system integrations, and workflows are reliable, governed, supportable, and optimized for scale
  • 4P framework (People, Process, Policy, and Platform)
  • hands-on solution development
  • strategic partnership
  • scalable, supportable, and aligned to Microsoft's long-term technical ecosystem
  • Engineering, Data, and Platform Partnership
  • business stakeholders and technical teams
  • operational scenarios are well understood and translated into actionable requirements
  • Engineering, Data Engineering, Finance, Sales Operations, Compliance, and business planning stakeholders
  • scalable, compliant outcomes
  • technical dependencies, solution tradeoffs, delivery risks, platform constraints, and operational readiness needs
  • repeatable or high-impact capabilities into engineering-owned systems and services
  • data sources, system dependencies, data flows, and operational impacts
  • Operational Excellence, Governance, and Controls
  • simplify, standardize, and automate high-impact CSO workflows
  • maintaining compliance and operational control
  • controls that drive compliant execution
  • new operational models or business capabilities
  • policies, processes, documentation, and runbooks
  • managed solutions and operational capabilities
  • technical debt, platform risk, data reliability, and supportability gaps
  • mitigation plans or durable improvements
  • all levels, including senior stakeholders
  • alignment, decision-making, and execution
  • Service and Data Management
  • operational readiness and lifecycle needs
  • production CSO solutions
  • access, documentation, support paths, and business continuity considerations
  • secure connections and access models
  • external data sources and commonly used CSO platforms
  • SharePoint, Power BI workspaces, and workflow tools
  • service management activities
  • risk reviews, privacy/security considerations, incident response, attestations, and compliance activities
  • documentation for key data