Finance In Tech Jobs in Austin, TX (NOW HIRING)

Apple’s Finance Transformation Org is seeking an experienced and highly motivated Operations Finance Process and Technology Expert to lead the strategic development, implementation, and optimization of technology solutions supporting our global operations finance processes. As a process and technology expert, you’ll understand the finance processes and systems supporting Apple’s operations, supply-chain and logistics functions, re-engineer, optimize and build new generationtechnology solutions that will power Apple's Operations finance functions into the future, ensuring high standards of technical quality, development rigor, and delivery accountability. This role sits at the heart of a major transformation model to drive strategic outcomes at Apple's scale.
Description
This role will be critical in driving process optimization, efficiency, scalability, and innovation across the finance org supporting Engineering, Operations, Supply-Chain, AppleCare and logistics functions. The role will drive end-to-end delivery of complex, cross-functional AI/ML and Ops finance programs by owning technical solution roadmaps, milestones, and execution across engineering, product, and business teams to ensure on-time, high-quality launches. You'll dive deep into technical designs, data, and system architecture, infrastructure and Cloud based solutions alongside engineers and data scientists, leveraging their knowledge of software engineering, GenAI, MLOps, and agentic AI to unblock issues, manage risks, and make informed prioritization trade-offs. They align diverse stakeholders through clear communication, data-driven decision-making, and structured executive narratives continuously improving processes to increase velocity and translate technical complexity into measurable business impact.
The ideal candidate will possess an understanding of supply-chain and operations business processes, enterprise-level technology platforms, and have a proven track record of delivering complex technology projects with an emphasis on Process Innovation & Artificial Intelligence and Machine Learning. You will create an environment where the right technology - whether data pipelines, AI-powered automation, or custom tooling-is applied to the right problem to drive scalable, well-architected outcomes. You'll work closely with the Ops Finance Transformation Lead, Operations Finance leaders, and technology partners including FDT, ETS and IS&T.","responsibilities":"Strategy & Roadmap: Develop and maintain the technology roadmap for WW Engineering and Operations Finance function in alignment with overall Operations finance processes, business strategy and IT architecture, with a focus on integrating AI/ML capabilities
Drive quarterly Ops Finance Technology Steering Committee to prioritize large projects and resource allocation across Ops Finance leadership
Partner with Ops BPR, FDT, IS&T, ETS and other technology business partners to deliver globally scalable and cross-functional finance solutions including and connected with operations, supply-chain, and logistics solutions
Oversee delivery and maintenance of complex, cross-functional technology solutions, including the design and implementation of solutions that support key internal business partners
Establish and manage a structured development lifecycle (including version control and release management) to ensure a disciplined path from development to production
Establish and uphold consistent standards for quality, solution architecture, and technical documentation, ensuring the trams builds on shared, scalable foundations
Process Optimization: Identify opportunities for process improvement and automation, leveraging technology, including advanced AI/ML techniques, to drive efficiency, reduce costs, and help transition the Finance Analyst’s efforts towards analytics as opposed to data collection / crunching
Preferred Qualifications
Operate effectively in ambiguous environments, demonstrating strong ownership, bias for action, sound judgment, and a commitment to delivering results with experience working in Agile/Scrum environments
High intellectual curiosity to learn and understand business needs, with the ability to provide in-depth evaluations of complex engineering and analytic issues
Proactively identify cross-team dependencies, risks, and trade-offs; implement mitigation plans to ensure predictable, high-quality delivery
Communicate effectively with senior leadership through structured written narratives and executive-ready program updates that translate technical complexity into business impact
Inquisitive mindset with a desire for continued self-improvement and development of new skills
Proven ability to work outside own area of expertise, perform business discovery, simplify and define the problem statement, extract key information, and propose potential analytic approaches
Meticulous attention to detail and data integrity when managing program metrics and deliverables
Drives organizational success by orchestrating & aligning X-functional teams toward shared goals
Track record of staying current with industry best practices and rapidly adopting emerging technologies and methodologies
Minimum Qualifications
Masters degree in Supply-Chain, Finance, Computer Science, Engineering, Analytics, or equivalent technical field and 8+ years of technical/engineering program management experience OR Bachelor’s in Supply-Chain, Computer Science, Engineering, Analytics, or equivalent technical field with 10+ years experience
Previous experience with software engineering, GenAI, Machine Learning, AI, and supply chain/operations domains
Dive deep into data, technical designs, and root-cause analysis to resolve complex challenges with high analytical rigor
Proficiency with data acquisition tools advanced SQL, Python, data visualization, and analytics platforms
Familiarity with agentic AI frameworks, tool-use patterns (e.g., MCP servers, function calling, skills), and the ability to evaluate how autonomous agents and multi agent network can be applied to program and operational workflows
Knowledge of large language models (LLMs) and prompt engineering techniques - sufficient to partner effectively with software engineers and data scientists on GenAI-powered solutions
Experience managing feature roadmaps across interconnected systems, with the ability to stitch together finance and supply chain concepts (e.g., fulfillment, logistics, demand planning) into cohesive program strategies
Familiarity with software engineering best practices including testing frameworks, code quality standards, secure development practices, system architecture, strong understanding of APIs, data architecture, and system integration enabling effective partnership with software engineering teams on technical deliverables