Engineering Senior Manager Jobs in Florida
Engineering Senior Manager jobs in Florida are in strong demand, with concentrated hiring in aerospace and defense, semiconductor manufacturing, civil infrastructure, and energy systems across an active and competitive statewide market at every level from project lead to executive director. The largest volumes of openings are in Orlando, Tampa, and Miami, where established employers such as Lockheed Martin, Siemens, and L3Harris Technologies maintain major engineering operations. Structural engineering, systems engineering management, and quality and compliance leadership are among the most consistently sought specializations in Florida listings. Find a role that fits below and apply directly.
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Showing 5 of 147+ Engineering Senior Manager jobs
Department Description:
At Disney, we’re storytellers. We make the impossible, possible. The Walt Disney Company (TWDC) is a world-class entertainment and technological leader. Walt’s passion was to continuously envision new ways to move audiences around the world—a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences — and we’re constantly looking for new ways to enhance these exciting experiences.
The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. Our group drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence.
Team Description:
We are the Finance Engineering & AI team, and we exist to be Finance's technical partner — for FP&A, Payroll, Controllership, and Tax & Treasury alike — turning business process needs into working software and intelligent automation. Our AI Platform team designs and builds the intelligent automation layer that streamlines and scales finance workflows, while our Business Process Applications team owns and operates the core systems finance relies on every day. Together, we combine deep finance domain expertise with custom engineering to give Finance both a stable operational backbone and a path toward an increasingly automated future.
What You’ll Do:
Disney Financial Insights (D-Fi) is a new platform reimagining how Finance teams and budget owners across Disney interact with financial data — replacing manual pulls, static reports, and email-driven approvals with one AI-powered, orchestrated experience built on top of Disney financial systems.
We're hiring a Senior Manager, AI & Machine Learning, as the founding engineering leader for this AI framework: a hands-on manager and technical lead who will build and run a global engineering team based in Buenos Aires AR, delivering the AI/ML layer, the intelligent data foundation, software workflows/orchestration, and natural-language experience that sits at the center of D-Fi.
This is a build-from-scratch mandate — you'll be shaping team structure, engineering practices, and technical architecture from an early stage (MVP in progress), not inheriting a mature system.
This role is the primary technical point of contact for finance stakeholders & cross-functional partners and is accountable for translating the platform roadmap into a shipped, governed, production-grade system.
As the Senior Manager, AI & Machine Learning, you'll be setting architecture, reviewing design decisions, and staying hands-on enough to credibly evaluate trade-offs your team brings you. This role is also expected to be hands-on — stepping in on implementation, unblocking technical issues in real time, and reviewing code with the depth that comes from doing the work yourself, not just overseeing it.
Own technical direction end-to-end. Set architecture and technical strategy for the AI/ML and data layers underpinning D-Fi, ensuring every capability — variance analysis, scenario modeling, the natural-language experience — is built on a governed, semantic data foundation rather than one-off pipelines.
Be the stakeholder-facing technical lead. Act as the primary engineering liaison to finance business partners and leadership — translating challenging business needs into a scoped, buildable technical roadmap, and representing engineering trade-offs credibly to technical and non-technical partners and leaders.- Own the AI/LLM roadmap. This is the highest-visibility and most sensitive capability on the platform — you'll guide its direction end-to-end to build and maintain trust in AI-generated financial answers.
Enforce governance by design. Ensure role-based access control (RBAC) is enforced at the data model level — not the application level — across all personas (Finance, Budget Owners, and any future personas), so speed and automation never come at the cost of data governance.
Set the bar for engineering quality and delivery. Establish practices for code review, testing, model evaluation, and release management across a geo diverse team and multiple disciplines.
Own the build vs. integrate decisions. Guide when the team builds custom capability versus integrates with existing systems (SAP, Cognos, EPM, Data Marketplace, NetDocs, Coupa, Clarity)
Champion adoption broadly. Partner with the business finance transformation leads on driving adoption across the enterprise — both finance workers and budget owners.
Required Qualifications & Skills:
- 10+ years of software and/or ML engineering leadership experience, with a strong track record of owning technical direction and architecture for complex systems end-to-end.
- Demonstrated experience architecting and shipping production LLM/AI applications — not just prototypes.
- Production experience with LLM application architecture — RAG pipelines, prompt engineering, and context/retrieval design at scale
- Working knowledge of LLM orchestration frameworks (e.g., LangChain, LlamaIndex, or equivalent) and vector databases/retrieval stores (e.g., Pinecone, Weaviate, pgvector, or Snowflake Cortex Search)
- Strong data modeling background, ideally including semantic/governed data layers (not just raw pipelines)
- Ability to read, write and review Python code
- Working knowledge of modern web/full-stack language or framework sufficient to guide UI-layer architecture decisions
- Familiarity with MLOps practices — model monitoring, retraining pipeline design, containerization, and CI/CD for ML systems
- Experience working across distributed, cross-timezone engineering teams, with the judgment to know what belongs in synchronous vs. asynchronous workflows.
- Comfort operating as the primary technical voice in front of senior business stakeholders — able to translate finance/business problems into technical scope, and technical trade-offs into business language.
Preferred Qualifications:
- Background building internal tools for finance organizations is a plus, but not required — genuine curiosity about the domain is.
- Exposure to ERP/EPM platforms such as SAP, Oracle EPM, or Cognos, and/or experience integrating custom applications against enterprise system APIs
- Experience working alongside or evaluating third-party/consulting-delivered engineering work, with the judgment to assess technical quality and architectural fit quickly
Required Education:
- Bachelor's degree in Computer Science, Engineering, or related field; advanced degree a plus but not required given equivalent experience.
#TECHATDISNEY
.
The hiring range for this position in Orlando, FL is $197,600-$264,900 and in Burbank, CA is $207,400-$278,100 and in Seattle, WA is $217,300-$291,500. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Department Description:
At Disney, we’re storytellers. We make the impossible, possible. The Walt Disney Company (TWDC) is a world-class entertainment and technological leader. Walt’s passion was to continuously envision new ways to move audiences around the world—a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences — and we’re constantly looking for new ways to enhance these exciting experiences.
The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. Our group drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence.
Team Description:
We are the Finance Engineering & AI team, and we exist to be Finance's technical partner — for FP&A, Payroll, Controllership, and Tax & Treasury alike — turning business process needs into working software and intelligent automation. Our AI Platform team designs and builds the intelligent automation layer that streamlines and scales finance workflows, while our Business Process Applications team owns and operates the core systems finance relies on every day. Together, we combine deep finance domain expertise with custom engineering to give Finance both a stable operational backbone and a path toward an increasingly automated future.
What You’ll Do:
Disney Financial Insights (D-Fi) is a new platform reimagining how Finance teams and budget owners across Disney interact with financial data — replacing manual pulls, static reports, and email-driven approvals with one AI-powered, orchestrated experience built on top of Disney financial systems.
We're hiring a Senior Manager, AI & Machine Learning, as the founding engineering leader for this AI framework: a hands-on manager and technical lead who will build and run a global engineering team based in Buenos Aires AR, delivering the AI/ML layer, the intelligent data foundation, software workflows/orchestration, and natural-language experience that sits at the center of D-Fi.
This is a build-from-scratch mandate — you'll be shaping team structure, engineering practices, and technical architecture from an early stage (MVP in progress), not inheriting a mature system.
This role is the primary technical point of contact for finance stakeholders & cross-functional partners and is accountable for translating the platform roadmap into a shipped, governed, production-grade system.
As the Senior Manager, AI & Machine Learning, you'll be setting architecture, reviewing design decisions, and staying hands-on enough to credibly evaluate trade-offs your team brings you. This role is also expected to be hands-on — stepping in on implementation, unblocking technical issues in real time, and reviewing code with the depth that comes from doing the work yourself, not just overseeing it.
Own technical direction end-to-end. Set architecture and technical strategy for the AI/ML and data layers underpinning D-Fi, ensuring every capability — variance analysis, scenario modeling, the natural-language experience — is built on a governed, semantic data foundation rather than one-off pipelines.
Be the stakeholder-facing technical lead. Act as the primary engineering liaison to finance business partners and leadership — translating challenging business needs into a scoped, buildable technical roadmap, and representing engineering trade-offs credibly to technical and non-technical partners and leaders.- Own the AI/LLM roadmap. This is the highest-visibility and most sensitive capability on the platform — you'll guide its direction end-to-end to build and maintain trust in AI-generated financial answers.
Enforce governance by design. Ensure role-based access control (RBAC) is enforced at the data model level — not the application level — across all personas (Finance, Budget Owners, and any future personas), so speed and automation never come at the cost of data governance.
Set the bar for engineering quality and delivery. Establish practices for code review, testing, model evaluation, and release management across a geo diverse team and multiple disciplines.
Own the build vs. integrate decisions. Guide when the team builds custom capability versus integrates with existing systems (SAP, Cognos, EPM, Data Marketplace, NetDocs, Coupa, Clarity)
Champion adoption broadly. Partner with the business finance transformation leads on driving adoption across the enterprise — both finance workers and budget owners.
Required Qualifications & Skills:
- 10+ years of software and/or ML engineering leadership experience, with a strong track record of owning technical direction and architecture for complex systems end-to-end.
- Demonstrated experience architecting and shipping production LLM/AI applications — not just prototypes.
- Production experience with LLM application architecture — RAG pipelines, prompt engineering, and context/retrieval design at scale
- Working knowledge of LLM orchestration frameworks (e.g., LangChain, LlamaIndex, or equivalent) and vector databases/retrieval stores (e.g., Pinecone, Weaviate, pgvector, or Snowflake Cortex Search)
- Strong data modeling background, ideally including semantic/governed data layers (not just raw pipelines)
- Ability to read, write and review Python code
- Working knowledge of modern web/full-stack language or framework sufficient to guide UI-layer architecture decisions
- Familiarity with MLOps practices — model monitoring, retraining pipeline design, containerization, and CI/CD for ML systems
- Experience working across distributed, cross-timezone engineering teams, with the judgment to know what belongs in synchronous vs. asynchronous workflows.
- Comfort operating as the primary technical voice in front of senior business stakeholders — able to translate finance/business problems into technical scope, and technical trade-offs into business language.
Preferred Qualifications:
- Background building internal tools for finance organizations is a plus, but not required — genuine curiosity about the domain is.
- Exposure to ERP/EPM platforms such as SAP, Oracle EPM, or Cognos, and/or experience integrating custom applications against enterprise system APIs
- Experience working alongside or evaluating third-party/consulting-delivered engineering work, with the judgment to assess technical quality and architectural fit quickly
Required Education:
- Bachelor's degree in Computer Science, Engineering, or related field; advanced degree a plus but not required given equivalent experience.
#TECHATDISNEY
.
The hiring range for this position in Orlando, FL is $197,600-$264,900 and in Burbank, CA is $207,400-$278,100 and in Seattle, WA is $217,300-$291,500. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
See All 147+ Engineering Senior Manager Jobs in Florida
Find roles in Florida that match your experience and apply in just a few clicks.
Find JobsEngineering Senior Manager Jobs by City in Florida
Where Florida roles are concentrated, by current openings.
Engineering Senior Manager Job Market in Florida
A snapshot from current Florida openings, updated as new roles post.
Who's Hiring
- Lockheed Martin25
- L3Harris18
- Blue Origin4
- JPMorganChase4
- Kaufman Rossin4
Top Industries Hiring
- Consulting & Professional Services
- Food & Beverage
- Construction & Real Estate
- Fintech
- Insurance
What Florida Employers Look For
The qualifications that appear most often in engineering senior manager jobs across Florida.
- Bachelor's or master's degree in engineering with a Professional Engineer license recognized in Florida
- Eight or more years of progressive engineering experience including direct team leadership
- Demonstrated experience managing cross-functional engineering teams of ten or more people
- Proficiency with project management frameworks such as PMP, Agile, or CMMI
- Experience with Florida-relevant sectors such as aerospace, defense, or civil infrastructure
- Strong record of delivering engineering projects on schedule and within budget constraints
Engineering Senior Manager Jobs in Florida: Frequently Asked Questions
How do you become a engineering senior manager in Florida?
Most Florida employers require a bachelor's degree in an engineering discipline, with a master's preferred for senior management roles, plus a Florida-licensed Professional Engineer credential issued through the Florida Department of Business and Professional Regulation's Board of Professional Engineers. Candidates typically move into management after several years as a practicing engineer, often starting as a team lead or project engineer before stepping into a senior manager role within industries like aerospace, civil, or defense engineering.
Which companies hire engineering senior managers in Florida?
Employers hiring engineering senior managers in Florida right now include Lockheed Martin, L3Harris, and Blue Origin, based on current listings on Migrate Mate as of September 2026. Florida's concentration of aerospace primes, defense contractors, and large infrastructure firms means engineering management roles appear across a wide range of employer sizes, from major system integrators to regional civil engineering consultancies.
Which Florida cities have the most engineering senior manager jobs?
Orlando, Tampa, and Miami account for the largest share of engineering senior manager openings in Florida. Orlando and the surrounding Space Coast corridor drive demand through aerospace and defense operations, Tampa's port and infrastructure growth supports civil and systems engineering leadership, and Miami's expanding technology and construction sectors generate consistent senior engineering management roles.
Are there remote engineering senior manager jobs in Florida?
Yes, but they're relatively limited. About 47% of engineering senior manager openings tied to Florida are remote or hybrid as of September 2026, reflecting that most of these roles involve overseeing physical teams, facilities, or production environments. The functions most likely to allow hybrid arrangements are program management, quality systems oversight, and engineering operations roles that are primarily administrative and strategic rather than hands-on.
How can I get hired as a engineering senior manager in Florida with little or no experience?
The most realistic entry path is moving into a team lead or senior engineer role first, then building management experience over several years before applying for a formal senior manager title. In Florida, large employers such as Lockheed Martin and Siemens often post rotational engineering programs and associate engineering manager tracks that build leadership credentials. Earning a Professional Engineer license through the Florida Board of Professional Engineers and completing a PMP certification significantly strengthens a candidate's profile for internal promotions into management.
Where can I find and apply to engineering senior manager jobs in Florida?
You can find and apply to engineering senior manager jobs in Florida on Migrate Mate, which lists current Florida openings across industries including aerospace, defense, civil infrastructure, and manufacturing. Find the roles that fit your background and apply directly to the employers posting them.
See All 147+ Engineering Senior Manager Jobs in Florida
Find roles in Florida that match your experience and apply in just a few clicks.
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