• Build and manage Velir x Brooklyn Data’s strategic partnerships with leading data and AI platform providers • Identify and develop new alliance opportunities within the modern data stack ecosystem • Strengthen Velir x Brooklyn Data’s positioning as a preferred services partner within partner ecosystems • Identify and pursue “first-to-market” opportunities, including early adoption of new partner features, products, or capabilities • Develop and execute joint go-to-market strategies that generate pipeline and new business opportunities • Work closely with Velir x Brooklyn Data’s sales and growth teams to support co-selling initiatives and partner-led opportunities • Proactively track and register opportunities to ensure the organization receives appropriate credit for sourced opportunities and client consumption growth • Serve as the primary Velir x Brooklyn Data liaison with key partner executives and alliance leaders • Establish and nurture executive relationships across partner organizations • Maintain strong collaboration between Velir’s sales, marketing, and delivery teams and partner counterparts • Lead Velir x Brooklyn Data’s strategy and execution for data and AI partner conferences, summits, and ecosystem events • Identify and prioritize the most impactful partner events including Snowflake Summit, Databricks Data + AI Summit, Domo Palooza, and dbt Coalesce • Develop pre-event go-to-market strategies to drive pipeline generation, partner alignment, and client engagement • Coordinate internal preparation across sales, marketing, and delivery teams to ensure Velir x Brooklyn Data is positioned effectively throughout event preparation, execution, and follow up • Oversee execution of Velir x Brooklyn Data’s presence at partner events including executive meetings, speaking opportunities, joint marketing initiatives, and partner engagement activities • Ensure strong post-event follow-up and pipeline conversion from meetings, leads, and partner introductions generated at these events • Identify opportunities to showcase Velir x Brooklyn Data’s expertise in data, AI, and modern digital experience transformation • Drive the development of early case studies and success stories that support partner adoption and strengthen market positioning • Maintain visibility into partner product and feature roadmaps to proactively identify opportunities for early testing, case studies, and joint go-to-market efforts • Ensure teams are enabled on partner technologies and value propositions • Align internal stakeholders on partner priorities and initiatives • Support joint solution development and partner-aligned service offerings

• Analyze large volumes of chatbot and AI conversation data to identify performance gaps and improvement opportunities. • Define and track key AI performance metrics such as resolution rate, containment rate, response quality, and customer satisfaction. • Build dashboards and reporting frameworks using SQL, Python, and BI tools such as Tableau. • Design frameworks to evaluate the response quality of LLM responses across dimensions. • Build scalable processes for LLM-based automated evaluation and human review workflows. • Identify systematic failure patterns in AI responses and recommend improvements. • Partner with AI and engineering teams to evaluate model upgrades, prompt changes, and new AI capabilities. • Design and analyze experiments to measure the impact of model improvements. • Generate insights that inform model training data, prompts, and product features. • Identify trends in customer interactions to uncover new AI automation opportunities and gaps in intent coverage. • Translate analytics insights into actionable recommendations for product and AI teams. • Lead and mentor a team of data analysts focused on AI performance and conversational analytics. • Establish best practices for analytics, experimentation, and AI evaluation. • Collaborate closely with product, AI research, engineering, and customer success teams.

• Lead the People function’s AI platform strategy, including the architectural design of AI-enabled employee and leader experiences. • Own platform selection and evaluation for the People AI assistant ecosystem (orchestration layers or agent communication protocol, RAG, agent frameworks, workflow engines). • Define the modular AI architecture required for secure integrations with Workday, ServiceNow, intranet platforms, and other data sources. • Establish standards for model usage, retrieval patterns, data access, versioning, logging, and system reliability. • Serve as the People function’s primary partner with IT, Enterprise Architecture, Cybersecurity, Legal and Risk for all AI-related technology and governance decisions. • Negotiate and align on data access patterns, authorization models, and integration pathways. • Represent the People function in enterprise-level AI forums, steering groups, and architecture reviews. • Ensure the People function’s AI strategy aligns to enterprise roadmaps while enabling innovative pilot opportunities. • Maintain the People function’s AI governance framework, including compliance standards, auditability requirements, safety guardrails, and escalation pathways. • Define guardrails for automated actions, system boundaries, fail-safes, and human-in-the-loop patterns. • Partner with Legal and Cyber to assess and mitigate risk associated with new use cases and vendor capabilities. • Establish monitoring mechanisms for reliability, performance, and ethical deployment. • Lead technical evaluation of AI vendors and platforms; establish architecture requirements for onboarding and implementation. • Partner with Digital Experience and Enablement Architecture teams to ensure platforms adhere to design, workflow, and content standards. • Define integration expectations, data flows, and technical constraints. • Oversee technical specialists and AI engineering resources supporting the platform. • Partner with Experience Architecture on workflow logic, triage patterns, decision boundaries, and human-machine interaction standards. • Support Workday/VNDLY, ServiceNow, and digital platform teams in AI-enablement opportunities, while ensuring integrity of system-of-record logic. • Provide technical guidance and architectural oversight for AI-enabled processes and cross-system workflows. • Build a multi-year AI roadmap for the People Function, including platform evolution, capability expansion, and integration milestones. • Evaluate emerging technologies, enterprise AI investments, and new architectural patterns to inform strategic decision-making. • Ensure the People function’s AI ecosystem evolves toward greater automation, personalization, and employee experience quality.

• Architecting Agentic Workflows: Design, deploy, and iterate on multi-agent systems. • Email Operations at Scale: Build and manage agent-driven email frameworks. • Content Supply Chain: Develop AI-powered pipelines. • Orchestration & Governance: Define the 'human-in-the-loop' (HITL) protocols. • Tech Stack Integration: Develop integrations between AI agents and our core toolkit. • Continuous Optimization: Establish KPIs for AI agents and refine prompts.