Sr. Manager, Process Technology - Global Employer Services Technology Center
DeloitteAbout the role
Sr. Manager, Process Technology - Global Employer Services Technology Center
Austin, Texas, United States
Boston, Massachusetts, United States
Dallas, Texas, United States
Houston, Texas, United States
New York, New York, United States
Position Summary
Are you someone who is driven to build and test high quality software, acts autonomously, and has experience leading software quality teams in broadscale transformation programs? Are you ready to take the next leap in your career by leveraging your experience to influence your experience as a quality leader in digital/technology products that have a global impact? Are you ready to fulfill your greatest potential and make a significant impact within critical software delivery activities? If the answer to all of the above questions is “Yes,” come join the world’s leading professional services firm!
Work you'll do
The Senior Manager of Process Technology for the Global Employer Services Technology team leads execution to improve efficiency across our global technology platform (GlobalAdvantage – GA) and local processes. This role drives process transformation, automation, and core technology operations across global platforms, country processes, and individual deliverables. The role also turns ideas into outcomes by aligning business priorities with technology execution across GES teams. It requires strong program and project management, but it is not a PMO role. Success is measured by delivery, adoption, and business impact.
Responsibilities:
- Leading innovation, build efforts, products, and business-as-usual support operations across Process Technology
- Owning timelines, priorities, delivery quality, and business outcomes tied to technology investments and value realization
- Driving standardization, automation, and operational reliability across global platform and country-level processes
- Partnering with Global Technology teams, process excellence teams, and other stakeholders to evaluate feasibility and align delivery approaches
- Preparing execution-ready recommendations, guiding transformation initiatives from idea through deployment, and supporting adoption across the business
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Build and sustain professional relationships
- Lead projects or workstreams
- Manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Mentor and provide clear guidance to others
The team
At Deloitte Tax LLP, our Global Employer Services professionals help multinational clients develop programs, processes and digital offerings to manage a global workforce and the compliance obligations arising from global mobility, business travel and remote working. People within our technology group come from a diverse background – they partner with our go-to-market teams and global clients to solve challenging problems and design experiences and products that anticipate what our Deloitte clients will want and solutions that keep them compliant with global and local regulations.
Qualifications
Required:
- Ability to perform job responsibilities within a hybrid work model that requires US Tax professionals to co-locate in person 2 – 3 days per week
- Bachelor's degree in Computer Science, Information Systems, Data Management, or a related field
- 8+ years of experience in Process Technology with demonstrated experience leading technology teams delivering digital products, process transformation, and operational improvements
- Proven experience with application programming interfaces (APIs), Structured Query Language (SQL), extract, transform, load / extract, load, transform (ETL/ELT), data pipelines, automation, and enterprise integration patterns, including evaluation of architecture options and scalable solution design
- Strong skills in Python-based solutions, workflow automation, and software delivery practices
- Demonstrated experience with generative artificial intelligence (GenAI) / large language model (LLM) solutions, including prompt design, orchestration, retrieval-augmented generation (RAG), ev
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