BT Delivery Manager AI Automation

LiveRamp is the data collaboration platform of choice for the world’s most innovative companies. A groundbreaking leader in consumer privacy, data ethics, and foundational identity, LiveRamp is setting the new standard for building a connected customer view with unmatched clarity and context while protecting precious brand and consumer trust. LiveRamp offers complete flexibility to collaborate wherever data lives to support the widest range of data collaboration use cases—within organizations, between brands, and across its premier global network of top-quality partners. Hundreds of global innovators, from iconic consumer brands and tech giants to banks, retailers, and healthcare leaders turn to LiveRamp to build enduring brand and business value by deepening customer engagement and loyalty, activating new partnerships, and maximizing the value of their first-party data while staying on the forefront of rapidly evolving compliance and privacy requirements. LiveRamp is the data collaboration platform of choice for the world’s most innovative companies. A groundbreaking leader in consumer privacy, data ethics, and foundational identity, LiveRamp is setting the new standard for building a connected customer view with unmatched clarity and context while protecting precious brand and consumer trust. LiveRamp offers complete flexibility to collaborate wherever data lives to support the widest range of data collaboration use cases—within organizations, between brands, and across its premier global network of top-quality partners.

Hundreds of global innovators, from iconic consumer brands and tech giants to banks, retailers, and healthcare leaders turn to LiveRamp to build enduring brand and business value by deepening customer engagement and loyalty, activating new partnerships, and maximizing the value of their first-party data while staying on the forefront of rapidly evolving compliance and privacy requirements.

**You Will:**

• Own end-to-end delivery of AI and automation initiatives, from intake and scoping through launch, adoption, and ongoing optimization,with accountability for your team’s outcomes and ways of working.
• Lead and develop a small AI and automation delivery team (e.g., project managers, business analysts, and/or configuration specialists), providing clear direction, coaching, and regular feedback to support performance and growth.
• Translate ambiguous business problems into clear automation roadmaps, delivery plans, and measurable outcomes across service management, employee experience, and internal operations.
• Run a structured discovery process with stakeholders to prioritize high-impact use cases, define requirements, and align on success metrics, SLAs, and value realization targets.
• Build and manage detailed project plans, resource plans, and delivery milestones for multiple concurrent AI and automation projects in an agile environment, balancing capacity and priorities across your team.
• Drive execution across cross-functional teams (BT, engineering, security, data, operations, business owners, vendors) to ensure on‑time, on‑budget, high-quality delivery; removing blockers and making trade‑off decisions on behalf of your team.
• Establish and track delivery KPIs (e.g., sprint delivery, deflection rates, productivity gains, CSAT, adoption) and regularly report performance; using these insights to coach your team and refine the portfolio roadmap.
• Implement and continuously refine delivery standards, playbooks, and governance for AI and automation, ensuring compliance with LiveRamp’s security, privacy, and risk requirements.
• Manage vendor relationships and SOWs for AI and automation platforms and implementation partners, ensuring clear deliverables and accountability; aligning external partners with your team’s objectives and standards.
• Champion structured change management, including communications, stakeholder readiness, documentation and training to drive strong adoption and behavior change.
• Proactively identify delivery risks, dependencies, and blockers
• Lead structured issue resolution and escalation to keep initiatives on track, including coaching team members on effective risk management and stakeholder communication.
• Maintain a transparent intake and backlog process, ensuring stakeholders understand priorities, trade‑offs, and timelines for AI and automation delivery.
• Document and socialize lessons learned, best practices, and reusable components …