By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for

fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before. Learn more

at geniussports.com

About the role: VP, Business Technology

Genius Sports is transforming how enterprise technology is built and experienced across the business. As VP, Business Technology,

you will own the platforms and tools that power how our people work, every day. Reporting to the CIO, you will lead a team

responsible for the business systems, collaboration platforms, AI and productivity tooling, end-user technology services, and the

internal platform engineering capability that will underpin how automation is built and scaled across Genius Sports.

This is a hands-on engineering and leadership role. You will shape the strategy, own the vendor relationships, and drive the shift

from a traditional IT function to a proactive platform engineering team that builds the automation infrastructure the business

runs on. You bring real engineering depth alongside the commercial and stakeholder instincts the role demands.

Key Responsibilities

Own the Business Systems Portfolio

Lead the strategy, roadmap, and day-to-day operations for Genius Sports' core business systems, including Salesforce, Atlassian

(Jira and Confluence), Zendesk, and Microsoft 365.

Define the integration architecture between business systems and enterprise platforms, ensuring data flows cleanly between

tools without creating operational debt.

Manage vendor relationships in close partnership with Strategic Sourcing.

Own the Workday integration layer, working with HR and Finance system owners to ensure data integrity and operational

reliability across connected platforms. Position the team as a trusted integration partner as broader Workday ownership

evolves.

Build and Own the Internal Platform Engineering Capability

Architect and build the internal automation platform that will underpin how Genius Sports automates workflows, integrates

systems, and delivers self-service capabilities across the business. This is not a buy-only function: you will be building.

Own the IaC and DevOps practices for the Business Technology estate, using Terraform, CI/CD pipelines, and

infrastructure-as-code standards to ensure platform environments are version-controlled, auditable, and scalable.

Lead the design and deployment of agentic automation workflows, including integrations built on MCP Servers, AWS

Bedrock, Zapier, and API-layer connectors that reduce manual process overhead across business functions.

Partner with Engineering and Data teams to ensure the internal platform is built to the same standards as product engineering:

proper source control, code review, deployment pipelines, and documentation.

Drive the team’s evolution from reactive IT support to proactive platform engineering, embedding engineering culture,

practices, and accountability into how the function operates.

Drive AI and Productivity Tooling Adoption

Own the strategy and governance for enterprise AI and productivity tools, including Claude, ChatGPT, and Microsoft Copilot,

ensuring deployment aligns with the company's AI governance framework.

Work with the CIO and functional leads to evaluate, pilot, and scale AI tools that deliver measurable productivity gains across

the business.

Ensure tooling decisions follow the principle of right tool for the right job, with clear boundaries between governed stack

platforms and generative AI use cases.

Track adoption, usage, and ROI across the AI and productivity portfolio, providing regular reporting to ETS leadership.

Run Collaboration and Communication Platforms

Own the operational health and strategic direction of Slack and Microsoft 365 (including Teams, SharePoint, and OneDrive),

ensuring these platforms are performant, well-governed, and fit for a hybrid, global workforce.

Partner with IT and Security to enforce appropriate data controls, retention policies, and access governance across

collaboration tools.

Drive adoption and best-practice usage of collaboration platforms, working with internal communications and people teams where

relevant.

Oversee End-User Technology and IT Operations

Own the end-user compute function: laptops, desktops, mobile devices, and the service desk experience that supports Genius

Sports employees globally.

Maintain accountability for office networks, on-site infrastructure, and the reliability of workplace technology across Genius

Sports locations.

Ensure Active Directory and identity and access management (IAM) platforms are well-governed, current, and aligned to security

policy, working closely with Cybersecurity on access controls and lifecycle management.

Set the bar for device management standards, endpoint configuration, and IT onboarding and offboarding processes, ensuring

consistency and security across the estate.

Lead and Develop the Team

Build and lead a high-performing team of business systems, platform, tooling, and IT operations specialists, setting clear

goals, developing capability, and holding the bar on quality.

Create a team culture that balances operational reliability with a forward-looking mindset, ensuring the team is equally

trusted to keep the lights on and to drive change.

Partner closely with Data and Analytics and Cybersecurity to deliver joined-up technology outcomes for the business.

Shape the Enterprise Technology Roadmap

Contribute to the ETS transformation roadmap, with particular ownership of rationalizing the tool estate, building the internal

automation platform, and embedding engineering-grade practices into how the Business Technology team delivers.

Lead the evaluation and selection of new tools and platforms, and where building is the right answer, own the architecture and

delivery. Bring a commercially rigorous and technically grounded approach to build vs buy decisions, with the engineering

credibility to execute either path.

Provide ExCo-ready reporting on portfolio health, investment priorities, and risk across the business systems and productivity

estate.

Governance, Risk, and Compliance

Ensure business systems and productivity platforms meet audit, compliance, and data protection requirements, including

SOX-relevant controls where applicable.

Maintain clear documentation of system ownership, integration dependencies, and change management processes across the

portfolio.

Contribute to the ETS risk register, ensuring visibility of platform risks and remediation timelines at the right governance

levels.

Qualifications

Proven experience leading an enterprise technology or business systems function in a fast-moving, commercially driven

organization, with direct accountability for both strategic platforms and operational IT delivery. You have an engineering

background and have built things, not just managed vendors.

Deep familiarity with the tools in scope: Salesforce, Atlassian, Zendesk, Microsoft 365, Slack, and AI productivity platforms.

You do not need to have run all of them simultaneously, but you need to know how they fit together.

A track record of translating business requirements into technology decisions, and technology investments into measurable

business outcomes.

Strong commercial instincts. You understand vendor dynamics, know how to negotiate, and do not let the portfolio sprawl.

Experience managing cross-functional stakeholders at senior level, including Finance, HR, Sales, and Operations leaders who

have strong opinions about the tools they use.

Solid grounding in identity and access management, endpoint management, and IT operations governance, enough to set standards

and hold a team accountable. Alongside this, hands-on experience with infrastructure-as-code (Terraform), CI/CD pipelines,

cloud platforms (AWS or Azure), and API-layer integration. You can work in code, review it, and build teams that ship it.

Clear, direct communicator who can present to ExCo and board audiences without jargon and with a sharp focus on business

impact.

Hands-on experience deploying AI and automation tooling in production, including agentic workflows, MCP Servers, or

API-integrated AI platforms. A grounded view of where generative AI adds measurable value in an enterprise context, and the

governance instincts to deploy it responsibly.

Experience operating within a SOX-compliant or similarly governed environment is an advantage.

We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working

models differ depending on your role and location. Occasional travel may be required.

As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your

skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports.

One team, being brave, driving change

We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a

difference. Learn more about our values and culture at Culture | Genius Sports.

Let us know when you apply if you need any assistance during the recruiting process due to a disability.

Roll

VP, Business Technology

Kategori

Plats

London

Publicerad

5 juni

Sista ansökningsdag

16 augusti

Taggar för det här jobbet

IT React AWS Azure DevOps AI Rust Terraform CI/CD Salesforce

Liknande jobb

Solutions Engineer (German-speaking)

Neural Concept

Munich•Publicerad: 27 feb.•Sista ansökan: 16 aug.

About the Role The mission of Neural Concept's Application Engineering team is to help industry leaders redefine how they design products — by bridging cutting-edge AI technology with real-world engineering challenges. We work hand-in-hand with engineering, design, and executive teams across automotive, aerospace, and energy to understand their strategic needs and deliver solutions that create measurable impact. As part of this team, you will sit at the intersection of business and technology — translating complex customer challenges into high-value AI-powered solutions, and ensuring those solutions actually land and stick within our customers' organizations. This is a role for someone who thrives equally in a boardroom conversation with a VP and in a deep-dive technical session with engineers. If you're excited about shaping how industry leaders adopt AI and about being a trusted advisor to some of the world's most sophisticated engineering teams, this is the role for you. What you will do * Understand and shape customer strategy: Engage with senior stakeholders (VP, C-level) to understand their business challenges, articulate the value of AI-assisted design, and co-design high-level solution roadmaps. * Design and deliver solutions: Translate business requirements into concrete technical approaches using NC's platform, working closely with customer engineering teams and internal developers. * Drive adoption: Guide customers through AI adoption — from proof-of-concept to full integration — ensuring teams are equipped and confident to use new workflows. * Be the bridge: Act as the link between customer needs and NC's product evolution, feeding insights back to our development team to continuously improve the platform. Who you are * You are a strong communicator and trusted advisor — you can engage confidently with senior stakeholders (VP, C-level), build relationships quickly, and drive alignment around complex, ambiguous problems * You have experience designing solutions end-to-end: from understanding a business need to translating it into a concrete technical approach * You are comfortable working in a customer-facing environment, navigating both executive conversations and deep technical sessions with engineering teams * You hold a Master's or PhD degree in Engineering, Applied Mathematics, Physics, or a related field — or have equivalent experience in an industrial or consultancy setting * You have a solid understanding of engineering simulation concepts (CAD/CAE, CFD, FEM, or similar) — whether from an academic or industry background * You have working knowledge of machine learning and how it applies to engineering problems; hands-on experience with Python and ML/deep learning frameworks is a strong plus * You are intellectually curious and eager to tackle real-world engineering challenges through AI and automation * You are fluent in English and German (preferably native) We value different balances of business and technical skills. Whether your strength is in solution design and stakeholder management, or in hands-on implementation, we want to hear from you. What You Get * Work with a world-class technology team – our engineers are top-notch, and we always aim for excellence. * Benefit from a competitive salary and rewarding opportunities as we continue to scale. * Thrive in a collaborative, multicultural environment where your work is visible and recognized. * Develop professionally alongside talented colleagues who share knowledge freely and support one another. * Make a global impact by helping customers shift to AI-assisted design, making innovation faster, smarter, and more sustainable. * Balance life and work with a hybrid model and flexible hours—we care about results, not rigid schedules. WE'RE PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER, AND WE'RE COMMITTED TO BUILDING A DIVERSE AND INCLUSIVE ENVIRONMENT WHERE YOU CAN THRIVE.

PythonAIMachine Learning

Solutions Engineer

Neural Concept

Lausanne•Publicerad: 30 apr.•Sista ansökan: 16 aug.

About the Role The mission of Neural Concept's Application Engineering team is to help industry leaders redefine how they design products — by bridging cutting-edge AI technology with real-world engineering challenges. We work hand-in-hand with engineering, design, and executive teams across automotive, aerospace, and energy to understand their strategic needs and deliver solutions that create measurable impact. As part of this team, you will sit at the intersection of business and technology — translating complex customer challenges into high-value AI-powered solutions, and ensuring those solutions actually land and stick within our customers' organizations. This is a role for someone who thrives equally in a boardroom conversation with a VP and in a deep-dive technical session with engineers. If you're excited about shaping how industry leaders adopt AI and about being a trusted advisor to some of the world's most sophisticated engineering teams, this is the role for you. What you will do * Understand and shape customer strategy: Engage with senior stakeholders (VP, C-level) to understand their business challenges, articulate the value of AI-assisted design, and co-design high-level solution roadmaps. * Design and deliver solutions: Translate business requirements into concrete technical approaches using NC's platform, working closely with customer engineering teams and internal developers. * Drive adoption: Guide customers through AI adoption — from proof-of-concept to full integration — ensuring teams are equipped and confident to use new workflows. * Be the bridge: Act as the link between customer needs and NC's product evolution, feeding insights back to our development team to continuously improve the platform. Who you are * You are a strong communicator and trusted advisor — you can engage confidently with senior stakeholders (VP, C-level), build relationships quickly, and drive alignment around complex, ambiguous problems; * You have experience designing solutions end-to-end: from understanding a business need to translating it into a concrete technical approach; * You are comfortable working in a customer-facing environment, navigating both executive conversations and deep technical sessions with engineering teams; * You hold a Master's or PhD degree in Engineering, Applied Mathematics, Physics, or a related field — or have equivalent experience in an industrial or consultancy setting; * You have a solid understanding of engineering simulation concepts (CAD/CAE, CFD, FEM, or similar) — whether from an academic or industry background; * You have working knowledge of machine learning and how it applies to engineering problems; hands-on experience with Python and ML/deep learning frameworks is a strong plus; * You are intellectually curious and eager to tackle real-world engineering challenges through AI and automation; * You are fluent in English; French is a plus; What You Get * Work with a world-class technology team – our engineers are top-notch, and we always aim for excellence. * Benefit from a competitive salary and rewarding opportunities as we continue to scale. * Thrive in a collaborative, multicultural environment where your work is visible and recognized. * Develop professionally alongside talented colleagues who share knowledge freely and support one another. * Make a global impact by helping customers shift to AI-assisted design, making innovation faster, smarter, and more sustainable. * Balance life and work with a hybrid model and flexible hours—we care about results, not rigid schedules. WE'RE PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER, AND WE'RE COMMITTED TO BUILDING A DIVERSE AND INCLUSIVE ENVIRONMENT WHERE YOU CAN THRIVE.

PythonAIMachine Learning

Solutions Engineer

Neural Concept

Pune•Publicerad: 22 apr.•Sista ansökan: 16 aug.

About the Role The mission of Neural Concept's Application Engineering team is to help industry leaders redefine how they design products — by bridging cutting-edge AI technology with real-world engineering challenges. We work hand-in-hand with engineering, design, and executive teams across automotive, aerospace, and energy to understand their strategic needs and deliver solutions that create measurable impact. As part of this team, you will sit at the intersection of business and technology — translating complex customer challenges into high-value AI-powered solutions, and ensuring those solutions actually land and stick within our customers' organizations. This is a role for someone who thrives equally in a boardroom conversation with a VP and in a deep-dive technical session with engineers. If you're excited about shaping how industry leaders adopt AI and about being a trusted advisor to some of the world's most sophisticated engineering teams, this is the role for you. What you will do * Understand and shape customer strategy: Engage with senior stakeholders (VP, C-level) to understand their business challenges, articulate the value of AI-assisted design, and co-design high-level solution roadmaps. * Design and deliver solutions: Translate business requirements into concrete technical approaches using NC's platform, working closely with customer engineering teams and internal developers. * Drive adoption: Guide customers through AI adoption — from proof-of-concept to full integration — ensuring teams are equipped and confident to use new workflows. * Be the bridge: Act as the link between customer needs and NC's product evolution, feeding insights back to our development team to continuously improve the platform. Who you are * You are a strong communicator and trusted advisor — you can engage confidently with senior stakeholders (VP, C-level), build relationships quickly, and drive alignment around complex, ambiguous problems; * You have experience designing solutions end-to-end: from understanding a business need to translating it into a concrete technical approach; * You are comfortable working in a customer-facing environment, navigating both executive conversations and deep technical sessions with engineering teams; * You hold a Master's or PhD degree in Engineering, Applied Mathematics, Physics, or a related field — or have equivalent experience in an industrial or consultancy setting; * You have a solid understanding of engineering simulation concepts (CAD/CAE, CFD, FEM, or similar) — whether from an academic or industry background; * You have working knowledge of machine learning and how it applies to engineering problems; hands-on experience with Python and ML/deep learning frameworks is a strong plus; * You are intellectually curious and eager to tackle real-world engineering challenges through AI and automation; * You are fluent in English; What You Get * Work with a world-class technology team – our engineers are top-notch, and we always aim for excellence. * Benefit from a competitive salary and rewarding opportunities as we continue to scale. * Thrive in a collaborative, multicultural environment where your work is visible and recognized. * Develop professionally alongside talented colleagues who share knowledge freely and support one another. * Make a global impact by helping customers shift to AI-assisted design, making innovation faster, smarter, and more sustainable. * Balance life and work with a hybrid model and flexible hours—we care about results, not rigid schedules. WE'RE PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER, AND WE'RE COMMITTED TO BUILDING A DIVERSE AND INCLUSIVE ENVIRONMENT WHERE YOU CAN THRIVE.

PythonAIMachine Learning