Technology Strategy Lead

Atos-North America; Irving (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Atos North America is seeking a senior Data & AI Strategist who will shape the portfolio across North America and Europe, equipping hundreds of sellers and client partners with sales-ready plays and pricing guardrails.

You will translate investment decisions in agentic AI, data platforms, and responsible AI governance into enablement content, narratives, and market-ready assets, reporting to the Global Head of Data Platforms and collaborating with regional leaders.

Qualifications

• 10+ years of experience in technology portfolio strategy, sales enablement, product marketing, or solution strategy roles.
• Experience building and scaling sales enablement programs for global or multi-region sellers.
• Ability to translate complex offerings into clear, sales-ready narratives, playbooks, and business cases.
• Experience across NA and EMEA with regional buying dynamics and GTM nuances.

Responsibilities

• Own portfolio management and sales enablement for the Data & AI practice across NA/EMEA.
• Define positioning, packaging, and selling strategies for the Data & AI portfolio.
• Develop enablement assets, plays, and pricing guardrails for sellers and client partners.
• Collaborate with Global Head of Data Platforms, practice leaders, alliance teams, and Specialty Sales.

Skills

Portfolio strategy

Sales enablement

Product marketing

Solution strategy

Global sales

Sales narratives

Pricing & packaging

Data platform architectures

AI governance

Regulatory compliance awareness

Tools

Databricks

Snowflake

AWS SageMaker

Azure Fabric/OpenAI Service

Vertex AI

NVIDIA AI Enterprise

Job description

About the role:

As the NA/EMEA Data & AI Strategist, you will own portfolio management and sales enablement for the Data & AI practice across two of Atos' most strategic regions. This is a global-facing, practice-shaping role: rather than carrying an individual sales quota against a single territory, you will define how the Data & AI portfolio is positioned, packaged, and sold - equipping hundreds of sellers, solution architects, and client partners across North America and EMEA with the tools, narratives, and enablement assets needed to win. You will sit at the intersection of offering strategy, competitive intelligence, and field enablement - translating practice investment decisions (in agentic AI, Private AI infrastructure, data platforms, and responsible AI governance) into sales-ready plays, pricing guardrails, and win-themes that resonate from the boardroom to the bid room. This role reports directly to the Global Head of Data Platforms and works in close partnership with NA and EMEA practice leaders, alliance teams, and the Specialty Sales organization.

Job Description:

• Strategy & Enablement Background 10+ years of experience in technology portfolio strategy, sales enablement, product marketing, or solution strategy roles within enterprise technology, consulting, or systems integration.
• Demonstrated experience building and scaling sales enablement programs for a global or multi-region seller population.
• Track record of translating complex technical offerings into clear, sales-ready narratives, playbooks, and business cases.
• Experience operating across both North America and EMEA, with an understanding of regional buying dynamics, regulatory considerations, and go-to-market nuances.
• Strong command of portfolio management frameworks, offering lifecycle processes, and pricing/packaging strategy for professional and managed services.
• Working knowledge of modern data platform architectures: data lakehouses, cloud-native data warehouses, data mesh, and real-time streaming.
• Familiarity with leading data and AI platforms including Databricks, Snowflake, AWS (SageMaker, Bedrock, Redshift), Microsoft Azure (Fabric, OpenAI Service), Google Cloud (BigQuery, Vertex AI), and NVIDIA AI Enterprise.
• Understanding of the AI landscape: foundation models, generative AI, agentic AI workflows, MLOps, and LLMOps concepts sufficient to shape enablement content and competitive positioning.
• Awareness of data governance, responsible AI, and regulatory compliance frameworks (e.g., GDPR, EU AI Act, NIST AI RMF, SOC 2).
• Ability to articulate the value of Private AI and sovereign data infrastructure to regulated-industry clients across both regions.

Preferred Qualification:

• Prior experience in an advisory capacity at a large consulting firm (e.g., Deloitte, Accenture, McKinsey, BCG, EY, PwC, KPMG), with exposure to technology-agnostic advisory engagements - capability assessments, operating model design, large-scale transformation programs, and organizational change management (OCM) - distinct from platform- or vendor-specific implementation work.
• Prior experience at a top-tier global systems integrator or consulting firm (e.g., Deloitte, Accenture, IBM, Capgemini, Infosys) in a portfolio strategy, enablement, or solution marketing capacity.
• Working familiarity with Atos's broader business line portfolio - including Cloud & Infrastructure, Cybersecurity, and Digital Workplace - and the ability to connect Data & AI into larger enterprise transformation conversations.
• Experience supporting sales motions within one or more Atos target verticals: Financial Services, Healthcare & Life Sciences, Energy & Utilities, Public Sector, Manufacturing. Familiarity with agentic AI platforms and the emerging market for AI agent orchestration, automation, and governance.
• Experience partnering with hyperscaler alliance teams (AWS, Azure, GCP) or ISV partners (Databricks, Snowflake) on joint enablement or co-sell programs.
• Prior exposure to digital sovereignty, data residency, or air-gapped

Choose your future. Choose Atos.