Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.
The opportunity
At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.
We are proud of:
- The work we do and the innovation we drive
- Our values of share, care and dare
- A workplace culture that fosters creativity, diversity and autonomy
- Our borderless, global framework, which enables seamless collaboration
The role
We’re hiring a senior Data & AI leader who can sit confidently with executives to shape outcomes around agentic systems, generative AI, and measurable business impact while also rolling up sleeves to guide delivery across ML, advanced analytics, and data platform foundations. You’ll anchor critical pursuits, steward solution quality, and reduce single-threaded risk on leadership bandwidth by acting as a force-multiplier across accounts.
This role blends Practice Delivery (owning outcomes on high-stakes engagements) and Practice Enablement (sharpening offers, accelerators, playbooks, and partner co-sell). You will collaborate with the 3-core disciplines in our Data & AI Practice: Analytics, Intelligence & Optimization; Data Science & Generative AI; Data Engineering & Platforms.
Role responsibilities
Executive & Client Leadership
- Serve as the executive-facing Data & AI lead for priority accounts: frame business problems, shape hypotheses, define KPIs, and land value cases for AI/ML and agentic workflows.
- Translate between C-suite objectives and technical plans (governance, security, model risk, data contracts, SLAs).
- Co-own roadmaps that unify data foundations (ingest/model/serve), advanced analytics (forecasting/attribution/optimization), and GenAI (RAG/agents/tools) into a measurable value program.
Agentic & GenAI Solutions
- Design pragmatic architectures for agentic systems (tool-use, retrieval, planning/evaluation loops) that integrate with modern data stacks and application surfaces.
- Establish safe-by-default patterns: policy, PII handling, secret management, human-in-the-loop, evals/guardrails, cost/perf telemetry.
- Guide build vs. buy vs. assemble decisions across cloud services and partner ecosystems (Azure/Databricks; GCP/Vertex/BigQuery).
Advanced Analytics & ML Delivery
- Lead solution designs for MMM/MTA, forecasting, propensity, NLP/vision, and optimization; set modeling standards (feature stores, experiment design, drift/monitoring, MLOps).
- Review and raise the bar on notebooks, pipelines, and evaluation frameworks; insist on reproducibility, lineage, and documentation
Data Foundations & Architecture
- Oversee pragmatic, governed data foundations (lakehouse, semantic layers, CDC/streaming, batch/real-time serving).
- Ensure architectures are right-sized for client constraints (security/compliance, cost, latency, vendor lock-in).
Go-to-Market & Practice
- Co-create Offerings with Growth & Alliances: Partner with Growth, Partnerships, and Vertical Leads to design and package market-ready offerings (discovery → pilot → scale) including scope, pricing guardrails, delivery blueprint, case studies, and ROI stories.
- Shape pursuits with POVs, demos, and reference architectures; support executive pitches with compelling value narratives and quantified outcomes.
- Evolve internal accelerators (conversational analytics, agentic eval harnesses, analytics workbenches) and coach teams on their use.
- Build repeatable playbooks (readiness assessment, risk/mitigation, success metrics), then enable Sales with one-pagers, proposal inserts, and talk tracks.
People & Quality Leadership
- Provide matrixed leadership to pods (DA/DE/DS/Analytics Eng) across 1–3 concurrent programs; mentor seniors/principals into client-credible leaders.
- Run delivery rituals that protect quality and pace (design reviews, red-team reviews, go-live checklists, incident postmortems).
External Thought Leadership
- Publish & Speak: Drive a consistent cadence of external POVs (blogs, linkedin, bylines, whitepapers) and conference talks/webinars on agentic systems, GenAI safety/evals, and measurable AI value.
- Showcase Client Impact: Partner with Client Services and Legal to create case studies and win stories (KPIs, before/after).
- Partner Co-Marketing: Collaborate with Microsoft/Databricks and Google/Vertex teams on joint content, solution spotlights, and marketplace listings.
- Category Creation: Define terminology, reference architectures, and maturity models that differentiate Valtech in Data & AI.
- Executive Visibility: Contribute to panels, roundtables, and analyst briefings; maintain an active professional presence (LinkedIn, podcasts).
Must have qualifications
To be considered for this role, you must meet the following essential qualifications:
- 10+ years in data/analytics/ML with 4+ years leading client-facing solution delivery; repeatedly trusted in executive rooms to land complex Data & AI programs.
- Demonstrated depth across:
- GenAI/Agentic: tool-calling, retrieval patterns, prompt orchestration, evals/guardrails, cost/perf ops.
- ML/Advanced Analytics: experimental design, feature engineering, model selection, MLOps, monitoring.
- Data Foundations: lakehouse patterns, ELT/ETL, streaming, orchestration, governance/lineage.
- Hands-on familiarity with Azure + Databricks (Azure ML, Synapse/Fabric, Data Factory, Databricks Workflows/Model Serving) and/or GCP + Vertex/BigQuery (BigQuery, Dataflow, Vertex AI pipelines/endpoints).
- Excellent communication: can convert complexity into crisp decisions; strong written narratives and visual solution storytelling.
- Eligibility to work in Canada or the US; able to travel ~25–35% for key workshops, steering meetings, and go-lives.
Nice to have qualifications
- Experience operationalizing evaluation frameworks for GenAI (task suites, golden sets, automatic grading, red-teaming).
- Marketing analytics exposure (attribution/MMM, experimentation) and/or commerce, FS, or industrial verticals.
- Familiarity with data governance (e.g., Unity Catalog, lineage, fine-grained access), privacy engineering, and model risk practices.
- Contributions to thought leadership (talks, blogs, OSS) and to partner ecosystems (Azure/Databricks, Google/Vertex co-sell).
- Proven public voice in Data & AI (talks, publications, OSS, or analyst-cited frameworks).
If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.
Commitment to reaching all kinds of people
We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.
The benefits
This is a full time position based in the United States. The offered salary range is $135,000--213,000 annually, depending on experience and location.
Beyond a competitive compensation package, we offer:
- Flexibility, with remote and hybrid work options (country-dependent)
- Career advancement, with international mobility and professional development programs
- Learning and development, with access to cutting-edge tools, training and industry experts
- Medical, dental, and vision insurance for you and your family, plus employer contributions to Health Savings Accounts
Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.
Your application process
Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.
⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses.
We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.
About Valtech
Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.
At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.
At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.
Are you ready to create what’s next? Join us.
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