Senior Data Product Manager (EN/ES) at Thoughtworks

Quito, , Ecuador -

Full Time

Start Date

Immediate

Expiry Date

02 Mar, 26

Salary

0.0

Posted On

03 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Governance, Machine Learning, Artificial Intelligence, Product Development, Stakeholder Management, Agile Methodologies, User Research, Data Analysis, Product Strategy, Technical Knowledge, Customer Experience, Collaboration, Problem Solving, Storytelling, Innovation, Data-Driven Insights

Industry

Information Technology & Services

Description

The most impactful digital products in the market today are the direct result of a seamless blend of business strategy, design and technology. Orchestrating this behind-the-scenes integration is a Product Manager, who prioritizes the customer experience from vision to execution and, together with their team, guides all workstreams toward a common vision and plan for delivery. Senior Product Managers collaborate with stakeholders to understand the business drivers and and define the desired customer and business outcomes. Alongside product teams, they define and validate product features, prioritize work and measure the product's performance. We are looking for a strategic Product Manager with experience in full product cycles and deep technical knowledge in data. This professional will be responsible for leading the product vision and development of a central Data Platform, acting as a coach for a multidisciplinary team. The ideal profile combines the expertise to prioritize initiatives based on value and outcome metrics with the technical ability to engage with the technical team and define essential platform capabilities, ensuring it delivers efficiency, quality, and cost reduction for the company's data products. Job responsibilities Define and prioritize core data platform capabilities—from data governance and pipelines to ML and AI—to enhance quality, efficiency, and scalability for data-driven products. Integrate data throughout all stages of the product development lifecycle to ensure informed decision-making and maximum value delivery. Cultivate meaningful relationships with client stakeholders, bridging technical and business perspectives while understanding their strategy, structure, and business model. Guide the overall product development lifecycle and continuously deliver value to clients. Define the go-to-market strategy in partnership with the client and plan for operational readiness to support the product. Build a shared product vision and roadmap, and continually guide the team throughout delivery. Collaborate with stakeholders and the product team to frame and run rapid experiments to test new business ideas. Define key metrics of success with client stakeholders and use data to inform decisions. Track industry trends and the competitive landscape, performing research and data analysis to generate insights that inform product strategy. Evolve and prioritize the product backlog based on user research, data, and changes in the market and business. Job qualifications Technical Skills You must have advanced Spanish and at least upper-intermediate English for conversation. You possess hands-on experience defining product capabilities for data platforms and AI/ML solutions, with the technical depth to engage effectively with engineering teams. You have experience launching successful data-driven products into market, leveraging AI insights.. With support from your product team and stakeholders, you can shape a product vision and strategy, translating both into a roadmap with clear business and customer value-based measures of success. You have experience in user research and an understanding of design methods and processes. Passion and perseverance for creating best-in-class software products which deliver an outstanding customer experience. Good understanding of agile software development practices. You use customer data to understand user needs, product performance and value created for the customer. Professional Skills You enjoy leveraging data-driven insights and advanced product design techniques to create innovative solutions for complex business challenges. You have experience applying generative machine learning models and other AI capabilities to deliver tangible business value. You enjoy collaborating with multidisciplinary teams to align AI and data initiatives with product strategy, technical implementation, and business objectives. You have a bias for action and can break down complex problems into tangible steps that drive product development at speed. You're analytical: you know that your product must provide tangible business value and can gather the right requirements and market data analysis to support your work. But you're right-brained, too: you know the power of effective storytelling and can easily synthesize research insights into clear, impactful messaging. Other things to know Learning & Development There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys. About Thoughtworks Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary. #LI-Remote See here our AI policy.

Responsibilities

Define and prioritize core data platform capabilities to enhance quality, efficiency, and scalability for data-driven products. Collaborate with stakeholders to frame and run rapid experiments to test new business ideas and track industry trends to inform product strategy.