Role Description The Senior Lead, AGT Transformation Initiatives is a high-impact individual contributor role focused on driving critical initiatives from early concept through structured execution. This role operates at the center of AGT’s most strategic priorities—partnering directly with senior executives to bring clarity to ambiguity, shape direction, and accelerate execution of high-visibility initiatives. Unlike traditional program or project management roles, this position is designed for a strategic operator who can connect the dots across teams, rapidly assess priorities, and turn loosely defined ideas into actionable paths forward. You will play a pivotal role in triaging emerging priorities, structuring complex problems, and enabling leadership decisions, while ensuring initiatives gain momentum and deliver impact. Main Responsibilities - Initiative Triage & Acceleration - Serve as a central point for intake, triage, and prioritization of high-impact AGT initiatives. - Rapidly assess initiative scope, dependencies, and feasibility to move efforts from concept to structured execution. - Identify gaps, risks, and blockers early—driving clarity on next steps and ownership. - Establish initial frameworks, hypotheses, and success criteria to guide execution. - Strategic Problem Solving & Structuring - Break down ambiguous, complex topics into clear problem statements, workstreams, and execution paths. - Develop actionable roadmaps and phased approaches for initiatives lacking defined structure. - Connect inputs across stakeholders, teams, and data points to form cohesive strategies and recommendations. - Translate evolving leadership priorities into aligned, executable actions. - Executive Engagement & Influence - Partner closely with senior AGT and Transformation Office leaders as a trusted thought partner. - Develop and deliver clear, compelling executive-ready materials that drive alignment and decisions. - Facilitate discussions with cross-functional leaders to align on direction, tradeoffs, and outcomes. - Operate effectively in high-visibility forums with shifting priorities and tight timelines. - Execution Enablement - Help transition initiatives into execution by establishing clear ownership, milestones, and operating structure. - Ensure sustained momentum by tracking progress, surfacing issues, and driving accountability where needed. - Support special projects requiring hands-on leadership, rapid mobilization, and cross-functional coordination. - Transformation & Continuous Improvement - Identify patterns across initiatives to improve how AGT intakes, prioritizes, and executes strategic work. - Contribute to building scalable approaches for initiative management, triage, and execution discipline. - Bring a continuous improvement mindset to enhance speed, clarity, and impact across transformation efforts. Qualifications - 10+ years of experience in strategy, consulting, transformation, operations, or similar roles. - Previous chief of staff experience with a top 500 company at a senior leadership level. - Proven track record of leading or enabling high-visibility, cross-functional initiatives. - Experience working directly with senior executives or C-suite stakeholders. - Exceptional ability to operate in ambiguity and drive clarity without defined structure. - Strong strategic thinking and problem-solving capabilities, with a bias toward action. - Outstanding communication and storytelling skills, with ability to influence senior audiences. - Demonstrated ability to connect disparate inputs into cohesive strategies and execution plans. - High degree of ownership, adaptability, and resilience in a fast-paced environment. Preferred Qualifications - Experience in enterprise transformation, go-to-market organizations, or large-scale change initiatives. - Background in consulting or roles requiring rapid structuring and executive advisory. - Experience working in global or highly matrixed organizations. - Familiarity with telecom, technology, or digital transformation environments. Compensation This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors. - $105,786 - $141,047 in these states: AL, AR, AZ, FL, GA, IA, ID, IN, KS, KY, LA, ME, MO, MS, MT, ND, NE, NM, OH, OK, PA, SC, SD, TN, UT, VT, WI, WV, WY - $111,074 - $148,099 in these states: CO, HI, MI, MN, NC, NH, NV, OR, RI - $116,364 - $155,152 in these states: AK, CA, CT, DC, DE, IL, MA, MD, NJ, NY, TX, VA, WA Benefits - Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing.

AI Governance Lead Consultant remote type Fully Remote locations USA - IL (Remote) time type Full time job requisition id R25799 At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.    Job Description As Allstate accelerates its adoption of AI, including Generative AI, Agentic AI, and advanced machine learning, the need for robust, embedded governance has never been greater. The AI Governance Lead Consultant will play a pivotal role in shaping how AI is responsibly developed and deployed across the enterprise. This is a hands-on role that requires a deep understanding of governance, risk and compliance theory and concepts, including how governance programs are structured in ways that are efficient, streamlined, and well-integrated. You’ll work directly with partners in technology, engineering, data science, and risk to design and implement governance controls that are practical, scalable, and tightly integrated into the AI development lifecycle. You will be part of a team that is reimagining risk management for the AI era, building new and more-efficient frameworks, automating oversight, and ensuring that innovation is enabled by safe and secure platforms. This role supports the broader Responsible AI and Governance Team in Enterprise Risk & Return Management.   Your primary responsibility will be developing, maintaining, and operationalizing the foundational elements of an AI Governance Program, including: - Holistic AI risk perspective: Develop how Allstate articulates AI risk through a comprehensive and detailed catalog of risks. - AI control inventory: Contribute to the development of a holistic perspective of AI controls and risk management activities, including those in development. - AI asset inventory: Develop and maintain a process to understand AI System exposure across the enterprise, including Third Party AI. - AI Governance operationalization: With the foundational elements described above (risk perspective, control inventory, AI asset inventory), develop and run a process to operationalize governance to the highest-priority areas. - AI standards and requirements: Develop, maintain, and update artifacts which provide guidance on safe, responsible AI development and procurement. - Coordination, collaboration and partnership: Work closely with other risk functions to ensure the foundational elements of AI governance are comprehensive and aligned to other risk and return programs, such as Data, Model, Third Party, Security, etc.   Supervisory Responsibilities: This position will not have supervisory responsibilities.   Education and Experience: - 5+ years of experience in governance, risk or compliance roles. Preferably experience in setting up and operationalizing a governance or oversight program.   Functional Skills: - Strong understanding of governance, risk and compliance concepts, including risk, controls, inventories, and how they are operationalized to enable governance. - Experience with building or improving a governance or oversight program, including the foundational components to make the program successful. - Ability to translate technical risk into business impact and communicate effectively across technical and non-technical audiences. - Strong critical thinking, adaptability, and leadership in fast-evolving environments. - Experience navigating complex stakeholder environments and driving consensus. - Passion for learning and staying ahead of AI trends, tooling, and regulatory developments.   #LI-TE1   Skills Agentic AI, AI Governance, Compliance, Generative AI, Responsible AI   Compensation Compensation offered for this role is 98,100.00 - 167,850.00 annually and is based on experience and qualifications.

• Lead client discovery and pre-sales engagements, identifying AI opportunities, structuring business problems, defining AI project scopes, and shaping solution approaches. • Own or significantly contribute to proposals, discovery workshops, business cases, solution concepts, and statements of work. • Translate business objectives into data, AI, and GenAI strategies, ensuring that analytics, automation, and model development are directly linked to measurable business value. • Advise senior stakeholders on technology and architecture choices, balancing feasibility, cost, risk, security, compliance, scalability, and expected business outcomes. • Challenge assumptions and recommend the most appropriate AI approach for the client context, including when AI is not the right solution. • Liaise between business, technical, delivery, and leadership teams to ensure clear communication and alignment across disciplines. • Lead AI project delivery from a consulting perspective, overseeing execution quality, stakeholder alignment, business impact, and value realization. • Co-create the strategy, vision, standards, and roadmap for Spyrosoft’s AI Consulting offering. • Mentor consultants, engineers, and other team members in AI consulting practices, discovery methods, solution framing, and stakeholder communication. • Communicate AI insights and recommendations clearly to executive, business, and technical audiences.

Title: Forward Deployed Engineer III, Generative AI, Google Cloud Remote Eligible Job Description: XApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. Applicants in Playa Vista: This role may also be located in our Playa Vista, CA campus. Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Applicants in Boulder: The application window will be open until at least June 4, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. Applicants in Washington State: In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: - Health, dental, vision, life, disability insurance - Retirement Benefits: 401(k) with company match - Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment - Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance - Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks - Baby Bonding Leave: 18 weeks - Holidays: 13 paid days per year Note: Google's hybrid workplace includes remote and in-office roles. By applying to this position you will have an opportunity to share your preferred working location from the following: In-office locations: San Francisco, CA, USA; Atlanta, GA, USA; Boulder, CO, USA; Cambridge, MA, USA; Chicago, IL, USA; Addison, TX, USA; Detroit, MI, USA; Irvine, CA, USA; Kirkland, WA, USA; Los Angeles, CA, USA; Miami, FL, USA; Mountain View, CA, USA; New York, NY, USA; Portland, OR, USA; Reston, VA, USA; San Diego, CA, USA; Seattle, WA, USA; Sunnyvale, CA, USA; Washington D.C., DC, USA; Ann Arbor, MI, USA; Austin, TX, USA; Houston, TX, USA; Madison, WI, USA; Pittsburgh, PA, USA; Raleigh, NC, USA; Durham, NC, USA. Remote location(s): United States. Minimum qualifications: - Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience. - 5 years of experience with software development using Python or similar coding languages. - Experience architecting AI systems on cloud platforms (e.g., GCP). - Experience taking production-grade AI-driven solutions from conception to launch for customers. - Experience leading technical discovery sessions with customers. - Experience building pipelines for structured and unstructured data using both vector databases and retrieval-augmented generation (RAG)-like architectures to power enterprise AI solutions. Preferred qualifications: - Master's or PhD in AI, Computer Science, or a related technical field. - Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and patterns (e.g., ReAct, self-reflection, hierarchical delegation). - Knowledge of LLM-native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing. About the job As a GenAI Forward Deployed Engineer (FDE) at Google Cloud, you will be an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer's environment. This role is designed for high-agency engineers with a founder's mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing white glove deployment of AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud's future product roadmap. It's an exciting time to join Google Cloud's Go-To-Market team, leading the AI revolution for businesses worldwide. You'll excel by leveraging Google's brand credibility-a legacy built on inventing foundational technologies and proven at scale. We'll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We're a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era-the market is yours. The US base salary range for this full-time position is $174,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities - Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment. - Architect and code the connective tissue between Google's AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team. - Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency. - Identify repeatable field patterns and friction points in Google's AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams. - Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.