Thomson Reuters izstrādā uzticamu saturu, datus un tehnoloģijas profesionāļiem, kuri strādā juridisko pakalpojumu, nodokļu un grāmatvedības, starptautiskās tirdzniecības, riska pārvaldības, apdrošināšanas, konsultāciju un globālo ziņu jomā. Tās piedāvājumā ietilpst juridiskās izpētes platformas, nodokļu un grāmatvedības programmatūra, atbilstības un regulatīvie rīki, kā arī Reuters mediju pakalpojumi. Apvienojot specializētas zināšanas ar ieguldījumiem ģeneratīvajā mākslīgajā intelektā, Thomson Reuters palīdz advokātu birojiem, uzņēmumiem, nodokļu speciālistiem un mediju organizācijām pārvaldīt sarežģītu informāciju, racionalizēt darba procesus un pieņemt labāk informētus lēmumus.
Vice President, Product Engineering – Corporates | São Paulo, Hybrid
Lead AI-enabled product engineering for Thomson Reuters’ corporate business across Latin America. Scale engineering teams, cloud platforms, automation, and modern data architectures.
Apraksts
- Set strategic direction for Product Engineering supporting the Corporates segment across Latin America
- Own and deliver the long-term engineering strategy and roadmap
- Lead major technology transformation initiatives spanning platform modernization, cloud adoption, and AI-enabled products and services
- Advance generative AI, machine learning, intelligent automation, and predictive analytics across the product portfolio
- Oversee the complete product engineering lifecycle, from concept through delivery
- Work with Product, Business, and customer-facing teams to turn customer needs into effective technical solutions
- Recruit, develop, and scale high-performing teams, including senior managers and technical leaders
- Manage budget planning, investment priorities, workforce strategy, and operating performance across multiple engineering groups
- Strengthen operational excellence through improved engineering practices, delivery models, performance measurement, AI-enabled observability, and automation
- Maintain compliance with security, data privacy, regulatory requirements, corporate and AI governance, model lifecycle controls, and responsible data practices
Prasības
- Bachelor’s or master’s degree in computer science, engineering, or a related technical discipline
- Track record of leading large, distributed, matrixed engineering organizations and delivering complex digital products at scale
- Strong technical foundation in modern software engineering, cloud platforms, and emerging technology
- Experience delivering transformation programs involving AI, intelligent automation, data modernization, and next-generation engineering platforms
- Excellent written and spoken English communication skills
- Experience reshaping engineering organizations, fostering innovation, and establishing operational discipline
- Strong stakeholder leadership with the ability to influence decisions in a global, matrixed organization
- Experience leading multi-team Agile organizations and supporting enterprise-wide Agile adoption
- Ability to perform effectively in a fast-moving environment while balancing competing priorities
- Willingness to travel regionally and internationally as required
Priekšrocības
- Flexible hybrid working model
- Option to work from anywhere for up to eight weeks each year
- Ongoing professional development through the “Grow My Way” program
- Medical and dental coverage
- Two company-wide mental health days
- Performance-based incentive programs
- Resources supporting mental, physical, and financial wellbeing
- Two paid volunteer days each year
- Opportunities to contribute to pro bono consulting projects and ESG initiatives