Valtech

• Define the content strategy for the multiple B2B & B2C & D2C marketing website, aligned to broader brand and business objectives. • Develop content models in partnership with UX, design, and development teams. • Create and maintain a content governance framework, including application tone of voice and review workflows suited to a highly regulated industry. • Conduct content performance audits and gap analyses across existing digital properties. • Partner with subject matter experts (engineers, safety/compliance teams, product marketing) to source and validate technical content. • Ensure all content complies with relevant industry, legal, and regulatory guidelines. • Inventory and audit content across 10 marketing websites. • Map existing content against content types and component categories and page templates. • Identify redundancies, gaps, and inconsistencies across the website portfolio. • Define and document the optimal, governed content type/component set for the future-state platform(s). • Produce a rationalized content model and governance recommendations. • Deliver findings and recommendations that inform both the content model and future content production standards.

• Embed inside a Forward Deployed Experience Pod, working shoulder-to-shoulder with the client to learn the real workflow before you redesign it. • Own the workflow, KPIs, and alignment for your pod. Define success metrics with the executive sponsor at week one, then build until you hit them. Measure outcomes against KPIs, not features shipped. • Redesign the human experience around AI, not the other way around. • Break a complex business problem into composable, shippable work the pod can ship in days, not quarters. Production progress every day. • Work in your client's stack alongside the Forward Deployed Engineer and Forward Deployed Experience Designer in your pod. • Pair with the Valtech leadership and your client's executive sponsor(s) to clear the path in real time. Legal, compliance, architecture, risk, governance, internal politics. • Govern, secure, and measure outcomes from day one. AI in production demands real attention to evals, guardrails, and human-in-the-loop design. You own the framework that proves the solution works and keeps working after the pod rolls off. • Transfer ownership cleanly. By the end of the engagement, the domain expert is set up to run the solution long-term without the pod. Documentation, conventions, and the team rituals that sustain the change are part of what you ship. • Surface the next opportunity from inside the work. Embedded pods see what's broken next before anyone else does. You bring that signal back, so the pod earns its way into the next problem rather than waiting for procurement. • Contribute to the evolution of Valtech's FDE practice. Every pod is a learning loop. Share what works, what didn't, and the patterns that should harden into how we deploy across clients.

• Lead UX strategy and execution across multiple workstreams or products • Design end-to-end experiences, user flows, interaction models, information architecture, and high-fidelity solutions • Translate customer research, business objectives, and data insights into effective design decisions • Facilitate workshops, discovery activities, and design-thinking sessions • Drive alignment among cross-functional teams and stakeholders • Advocate for user-centered design best practices throughout the organization • Partner with Product and Technology leadership to help shape product vision and direction • Promote and contribute to scalable design systems and reusable experience patterns • Present and defend design recommendations to clients, executives, and senior stakeholders • Provide mentorship, coaching, and constructive feedback to other designers • Help grow and strengthen the design practice through knowledge sharing, collaboration, and thought leadership • Champion accessibility, inclusion, and ethical design principles throughout the design process.

• The Adobe Journey Optimizer (AJO) Engineer is part of the Experience and Commerce team and plays a key role in designing, building, and optimizing customer engagement solutions powered by Adobe Experience Cloud technologies. • This role sits at the intersection of marketing technology, customer data, and software implementation. • Working closely with strategists, marketers, architects, data teams, and clients, the AJO Developer is responsible for translating customer engagement requirements into scalable, data-driven journeys and campaigns within Adobe Experience Platform (AEP) and Adobe Journey Optimizer (AJO). • The ideal candidate combines strong marketing automation expertise with a solid technical foundation in customer data platforms, data modeling, segmentation, personalization, and journey orchestration. • They understand how customer data flows across systems and can efficiently configure, troubleshoot, and optimize end-to-end customer experiences across multiple channels. • While the role operates within a collaborative team environment, it also requires autonomy, attention to detail, and a proactive mindset to drive successful implementations and deliver outstanding client outcomes.

• support the Client domain portfolio • drive cross-team initiatives • manage both portfolio-level governance • manage hands-on project delivery • track technical activities across teams • identify dependencies • follow up on execution

• Manage and maintain the Client domain project portfolio, including project status, timelines, risks, dependencies, budget indicators, and key decisions. • Prepare and facilitate portfolio governance meetings, including weekly project reviews, monthly check-ins, and executive-level reporting. • Consolidate inputs from multiple teams and ensure portfolio information is accurate, up to date, and action-oriented. • Track project prioritization, delivery capacity, major milestones, and business/technical impacts across the portfolio. • Identify portfolio-level risks, conflicts, dependencies, and resource constraints, and escalate them when needed. • Support the definition and improvement of PMO standards, templates, reporting, and governance practices. • Lead cross-team initiatives across the Client domain and the broader Omnichannel macro-domain, including eCommerce, Client, and Data. • Build and maintain detailed project plans covering business, functional, technical, architecture, development, integration, testing, deployment, and change management activities. • Work closely with architects, product owners, technical leads, QA, business teams, and vendors to define delivery plans and track execution. • Manage project scope, timelines, dependencies, risks, assumptions, decisions, and action plans. • Ensure clear communication between business stakeholders, IT teams, and leadership.

Role Description Como Salesforce Marketing Cloud Developer Junior, você trabalhará em projetos de implementação, sustentação e/ou operação do Salesforce Marketing Cloud, em conjunto com outros membros da equipe de Marketing Automation. - Desenvolvimento de soluções personalizadas utilizando JavaScript, AMPScript, GTL, HTML, CSS e SQL; - Desenvolvimento de ativos de marketing dinâmicos e personalizados, como e-mails, landing pages, formulários web e páginas de preferências customizadas; - Desenvolvimento e configuração relacionados ao Marketing Cloud Engagement; - Implementação de integrações por meio de FTP, APIs (SOAP e REST) e MC Connect; - Manter-se atualizado sobre os novos lançamentos do Salesforce Marketing Cloud, novos produtos, atualizações de funcionalidades e descontinuações; - Executar atividades internas como PDI (Plano de Desenvolvimento Individual) e OKRs, treinamentos pagos, solicitações de reembolso, licenças de software e férias, registros de ausência, lançamento de horas de projeto (timesheets), ajustes de apontamentos e outras atividades de acordo com os processos internos da empresa. Qualifications - Inglês avançado ou fluente; - Graduação em Ciência da Computação, Sistemas de Informação, Marketing ou áreas relacionadas; - Certificação Salesforce Marketing Cloud Email Specialist. Requirements - Certificação Salesforce Marketing Cloud Administrador, Developer, Consultant, Marketing Cloud Personalization e/ou Marketing Cloud Customer Data Platform. Benefits - Ambiente projetado para aprendizado contínuo, impacto relevante e crescimento profissional; - Oportunidades de crescimento e carreira internacional; - Cultura guiada por valores: share, care e dare; - Cultura que incentiva criatividade, diversidade e autonomia; - Modelo global sem fronteiras, que permite colaboração integrada e fluida. Company Description A Valtech existe para desbloquear novas formas de experienciar o mundo. Nós combinamos diferentes práticas, setores e culturas para ajudar marcas a gerar valor em um mundo digital. - Na interseção entre dados, IA, criatividade e tecnologia, impulsionamos transformação para organizações líderes como L’Oréal, Mars, Audi, P&G, Volkswagen, Dolby e outras. - Na Valtech, não apenas falamos sobre transformação, nós fazemos acontecer. - Nossas pessoas são o centro desse impacto, em um ambiente criado para que possam crescer, inovar e prosperar.

• Pilot e-commerce projects and platform rollouts across different international markets, managing scope, timelines, dependencies, and risks end to end. • Coordinate market-specific delivery while maintaining alignment with the global platform and program standards. • Ensure clear communication and reporting across business stakeholders, technical teams, and delivery partners. • Track and manage features within the SAFe delivery framework, including participation in and preparation for PI Planning. • Maintain visibility on feature progress, dependencies, and commitments across teams and program increments. • Work closely with Product Owners, Scrum Masters, and delivery teams to keep delivery cadence and execution on track. • Drive ongoing delivery across web performance, platform security, and test automation. • Manage and follow up with external partners and system integrators, holding them accountable to quality and timelines. • Champion continuous improvement of the e-commerce platform — stability, performance, quality, and operational efficiency. • Partner closely with business, technical, and vendor teams to align priorities and unblock delivery. • Act as a connection point between business needs and technical execution, clarifying ownership and driving follow-up. • Bring an appetite for automation, AI, and new approaches to improve delivery efficiency and reduce manual effort. • Identify opportunities to streamline delivery workflows, testing, and reporting through modern tooling and AI-assisted practices.

• Serve as the senior voice and primary point of authority on all things Adobe Target, advising technical and business stakeholders on testing strategy, personalization architecture, and platform best practices. • Push back constructively and confidently when client stakeholders propose approaches that conflict with Adobe Target best practices — backed by direct, hands-on experience rather than secondhand knowledge. • Stay current on the Adobe Target roadmap, new feature releases, and broader personalization/experimentation trends (e.g., AI-driven personalization, integration with Adobe Experience Platform / Journey Optimizer, server-side and edge-based testing), and translate what's new into practical recommendations for the client. • Provide oversight and QA on test design, targeting logic, audience segmentation, and implementation to ensure technical soundness before anything ships. • Mentor and guide more junior optimization specialists working hands-on in the platform, reviewing their work and raising the technical bar. • Act as a bridge between strategic/business objectives and the technical realities of the Adobe Target platform — equally comfortable in a whiteboard strategy session or a implementation review with engineers. • Represent the optimization practice in client governance meetings, roadmap reviews, and executive readouts, bringing both authority and specificity.

• Lead the most complex and high-impact data architecture initiatives across clients, business areas, domains, platforms, or strategic programs. • Define data architecture strategies that connect business goals, domain structures, semantic logic, platform realities, governance expectations, and downstream consumption needs. • Serve as a senior advisor to internal and client stakeholders on architecture maturity, semantic structure, governance direction, platform-aligned design, and long-term maintainability. • Establish and refine best practices for conceptual, logical, and physical data modeling, business entity design, semantic consistency, metric and dimension alignment, metadata expectations, domain boundaries, and reusable architecture patterns. • Guide the design of scalable semantic structures, business concept frameworks, taxonomy and ontology-informed models, governed access patterns, and reference architectures that improve trust and downstream usability. • Translate ambiguous executive and stakeholder questions into clear architecture approaches, semantic frameworks, platform strategies, governance-aligned design patterns, and business-relevant recommendations. • Lead architecture reviews and design authority discussions to identify risks, resolve ambiguity, strengthen standards alignment, and improve long-term structural quality. • Assess and shape how architecture choices support reporting, analytics, data products, machine learning, AI workflows, retrieval patterns, and agentic systems across structured, semi-structured, and selected unstructured data use cases. • Provide governance direction through standards, design reviews, architecture guardrails, and decision frameworks while keeping hands-on governance execution lighter than framework and review ownership. • Synthesize architecture tradeoffs, semantic implications, platform constraints, and governance considerations into clear insights, strategic implications, and recommended actions. • Influence cross-functional teams across DEPA, DSAI, and AIO to improve how data platforms, governed data products, semantic layers, analytics, and AI workflows work together. • Review major architecture deliverables to ensure quality, clarity, consistency, rigor, and practical business value. • Contribute to thought leadership, growth initiatives, proposal strategy, solution shaping, and new business efforts where senior architecture expertise is required. • Help create, improve, and promote reusable frameworks, templates, standards, semantic models, reference architectures, design review patterns, and accelerators that strengthen delivery consistency across the practice. • Mentor senior practitioners and help define what excellent data architecture practice looks like across the organization. • Reinforce strong governance, privacy, security, and data-quality expectations across engagements and teams.