Data Evangelist & Communications Specialist

Autodesk; Barcelona; On-site; EUR 60,000 - 85,000; Full time

Job summary

Autodesk is seeking a Data Evangelist & Communications Specialist within the GDI Analytics Enablement Team to promote data literacy, drive engagement, and communicate the value of customer intelligence across our global organization. You will champion data-driven decision making and partner with technical and business stakeholders to create clear, compelling communications.

As AI becomes central to analytics, you will leverage AI-enabled tools to scale high-quality enablement content, help

Qualifications

• Bachelor's degree in Communications, Marketing, Data/Analytics and 3+ years in a communications/enablement/analytics role.
• Strong understanding of analytics concepts, data culture, and data adoption challenges.
• Experience using AI tools to enhance communications, learning or analytics content and a willingness to experiment.

Responsibilities

• Evangelize Data and Analytics across the enterprise and promote best practices and KPIs.
• Develop a clear communications strategy for complex analytics concepts.
• Create and curate newsletters, blogs, updates, success stories and learning content using AI to scale quality content.
• Lead enablement initiatives such as events, learning paths, and community forums.
• Apply AI tools to improve content quality, tailor to audiences, and scale enablement materials with human review.

Skills

Data literacy

Stakeholder engagement

Content strategy

Cross-functional collaboration

Education

Bachelor's degree in Communications, Marketing, Data/Analytics

3+ years in communications/enablement/analytics

Tools

AI tools

Job description

Title: Data Evangelist & Communications Specialist

Team: GDI Analytics Enablement Team

Position Overview

The GDI Analytics Enablement Team is seeking a Data Evangelist & Communications Specialist to lead the charge in promoting data literacy, fostering engagement, and communicating the value of customer intelligence across our global organization. This role will serve as the face and voice of our data and analytics initiatives, driving cultural change by inspiring teams to adopt data-driven decision making. You will collaborate closely with technical and business stakeholders, creating clear, compelling communications and initiatives that educate, motivate, and empower analysts and business users.

As AI increasingly becomes part of how analytics is created, consumed and communicated, this role will help evolve the way GDI enables the organization. You will use AI-enabled tools to create and scale high-quality enablement and communications content, while helping stakeholders develop the skills and confidence to use AI to perform more of their own analytics work effectively and responsibly.

You will also help develop and curate trusted GDI insights, business knowledge and analytical context in forms that can be understood by both people and AI. As AI tools and agents increasingly reason across enterprise data and knowledge, you will help ensure they have access to clear definitions, business context, analytical guidance and trusted insights that improve the relevance and quality of the answers they produce.

Key Responsibilities

• Evangelize Data and Analytics: Act as a champion for data and analytics across the enterprise, promoting adoption of best practices, tools, certified data assets and standardised metrics and KPIs.
• Develop Communications Strategy: Craft and deliver clear, engaging communications that explain complex analytics concepts in a business friendly way.
• Create and Curate Content: Create and curate newsletters, blog posts, internal updates, success stories, learning content and other enablement assets that drive awareness and highlight impact. Leverage AI tools as part of the content development process to improve quality, tailor content to different audiences and scale the production and maintenance of enablement materials.
• Enablement Initiatives: Lead and support initiatives to increase awareness of the Analytics Enablement Program, including events, learning paths, and community forums.
• AI-Enabled Content Creation: Use current and emerging AI tools as part of the team's day-to-day approach to creating, adapting and maintaining enablement, communications and learning content. Explore new ways to use AI to improve the quality, relevance, speed and scalability of Analytics Enablement activities while applying appropriate human review and judgement.
• Enable AI-Assisted Analytics: Help stakeholders use AI tools and agents to complete analytics work more effectively and independently. Develop practical enablement that helps users ask better analytical questions, provide appropriate context, interact effectively with AI, select suitable use cases, interpret results and critically evaluate AI-generated analysis and outputs.
• Create Context for AI Reasoning: Develop and curate GDI insights, analytical knowledge and business context so that it can increasingly be consumed by both people and AI. Partner with analytics and data teams to translate metrics, definitions, business concepts, analytical frameworks, interpretation guidance and trusted insights into clear, reusable context that helps AI tools and agents reason more effectively about GDI data and the business.
• Stakeholder Engagement: Work cross-functionally with analytics, data, and business leaders to ensure consistent messaging and advocacy around enterprise analytics initiatives.
• Support Learning & Onboarding: Collaborate with colleagues on enablement and technical documentation to enhance learning experiences and foster a culture of data literacy.
• Measure Impact: Maintain a feedback loop with stakeholders, define KPIs and track engagement to evaluate the effectiveness of evangelism and communications activities.

Required Qualifications

• Bachelor's degree in Communications, Marketing, Data/Analytics, or a related field (or equivalent experience). 3+ years of experience in a communications, marketing, enablement, or analytics role, ideally within a data-driven organization.
• Strong understanding of analytics concepts, data culture, and the challenges of data adoption in large organizations, and familiarity with Data Science concepts.
• Demonstrated practical experience using AI tools to improve the creation, synthesis, adaptation or delivery of communications, learning or analytics content, with the curiosity and willingness to continuously experiment with new capabilities as they emerge.
• Practical understanding of AI-assisted analytics and how users can work effectively with AI tools and agents, including framing