Title: AVP, Software Engineering Lead Location: - Hartford, Connecticut - Charlotte, North Carolina - Chicago, Illinois Employment Type: Full-time Work Arrangement: Hybrid or Remote - Hybrid: Employees living near Hartford, Charlotte, or Chicago are expected to work in-office 3 days per week. - Remote: Available for candidates who do not live near an office, with occasional travel to an office as business needs require. Salary: - Base Salary: $182,000–$273,000 annually Job Description: AVP Software Engineering - IE05FE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. The AVP, Software Engineering Lead is a senior technology leader responsible for defining and executing engineering solutions with an AI-first mindset across the Corporate Functions IT organization. Reporting to the CIO of Corporate Functions, this role drives the re-imagination of software engineering, improving our software development lifecycle using AI-first processes, and ensuring AI‑driven capabilities are designed, built, and scaled safely, reliably, and in alignment with enterprise standards, governance, and risk. This role sets the roadmap for advanced software engineering teams to deliver AI‑enabled solutions, agent‑augmented workflows, and AI‑first engineering capabilities, partnering closely with Data & AI, Product, Architecture, Security, Risk, and Business leaders. The AVP will drive the modernization of engineering practices, accelerating delivery and productivity, while demonstrating measurable business value. This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office locations (Hartford CT, Charlotte, NC or Chicago IL) will have the expectation of working in an office 3 days a week. Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Candidates must be authorized to work in the US without company sponsorship Key Responsibilities AI-first Software Engineering Strategy & Execution - Define and lead the AI engineering strategy aligned to enterprise technology, Data & AI, and business priorities. - Own end‑to‑end software engineering reimagination and rollout of AI-first tools and processes to our technology organization. - Ensure AI-first software solutions are engineered for security, resiliency, performance, cost efficiency, and operational sustainability. AI‑First Engineering & Platform Enablement - Establish and evolve AI‑first engineering standards, patterns, and best practices, including GenAI and agent‑augmented development approaches. - Drive adoption of AI‑assisted development tooling and modern engineering accelerators to improve developer productivity and quality. - Partner with Architecture and Platform teams to define reusable AI engineering reference architectures, integration patterns, and guardrails. - Promote consistency and scale across AI implementations while enabling innovation and responsible experimentation. Delivery, Quality & Operational Excellence - Drive acceleration and efficiency using AI across software engineering teams, balancing speed, quality, risk, and cost. - Strengthen and champion AI-first SDLC, DevSecOps, CI/CD, and automation practices. - Ensure production readiness through robust testing, observability, monitoring, and incident response practices. - Use data‑driven insights to improve delivery predictability, flow efficiency, and engineering health. Governance, Risk & Controls - Partner with Data & AI, Risk, Legal, Compliance, Cybersecurity, and Architecture teams to ensure AI engineering solutions meet enterprise governance and regulatory expectations. - Implement required engineering controls, including logging, auditability, model integration controls, and operational safeguards. - Ensure alignment with the Enterprise AI Operating Model, risk tiering, and approval processes. - Proactively identify and mitigate technology, security, and operational risks associated with AI‑enabled systems. Talent Leadership & Engineering Culture - Elevate high‑performing software engineering teams with AI-first mindset. - Provide leadership, mentorship, and coaching to senior engineering talent. - Drive workforce strategy, succession planning, and capability uplift aligned to future‑ready AI and engineering skills. - Foster a culture of accountability, innovation, continuous improvement, and engineering excellence. Required Qualifications - 15+ years of technology experience in software engineering, including 5+ years leading engineering teams. - Led AI centric software engineering transformations - Proven experience building software engineering practices, with a special focus on AI-first engineering. - Deep expertise in agentic AI concepts and architectures, including multi-agent systems and non-deterministic workflows. - Strong systems thinking and ability to operate across strategy, architecture, and execution. - Demonstrated success influencing distributed, and cross‑functional engineering teams. - Experience operating within regulated, risk‑sensitive environments (insurance or financial services strongly preferred). - Excellent communication skills with the ability to influence senior leaders across Technology, Data & AI, and the Business. - Bachelor's degree in computer science, Engineering, Data Science, or related field (advanced degree preferred). Technical & Engineering Experience - Expertise building and leveraging Agentic AI solutions in support of software engineering processes and reimagining the software lifecycle with an AI lens. - Expertise implementing modern software engineering practices, cloud‑native architectures, API‑driven and event‑based systems. - Strong background in CI/CD, DevSecOps, automation‑first delivery, and reliability engineering. - Familiarity with AI‑assisted development tools, AI platforms, and modern engineering accelerators. - Experience defining engineering standards, reference architecture, and platform reuse strategies Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $182,000 - $273,000

• Leads CFCU’s Enterprise Platforms function, with responsibility for the technical and operational strategy, performance, and delivery of workflow, integration, automation, and emerging AI platforms. • Leads teams across product management, integration engineering, and operations. • Partners across the enterprise to deliver secure, scalable solutions and measurable outcomes. • Owns the end-to-end delivery for Enterprise Platforms.

• Develop, maintain and optimize routines in ADVPL/TL++ for the Protheus ERP (TOTVS). • Design and implement integrations between internal and external systems using APIs, WebServices (REST/SOAP), messaging systems and connectors. • Create and maintain entry points in Protheus to support integrations. • Document and version integration artifacts, ensuring traceability and reusability. • Analyze technical requirements together with business areas and functional teams to propose appropriate solutions. • Support incidents and requests related to critical ERP integrations, performing investigation and issue resolution.

Role Description As the Vice President of Data Architecture at Conga, you will define and lead the enterprise data strategy that underpins a unified, governed, and scalable data ecosystem across all Conga platforms. This spans the Salesforce-native product portfolio, the Advantage platform (cloud-native SaaS), and the integrated PROS pricing platform. Operating as a key member of the technology leadership team, you will partner closely with the VP of Platform Engineering and other senior leaders to establish how data is architected, governed, and leveraged across the organization. You will drive the long-term vision for how data is modeled, integrated, and consumed to power product experiences, analytics, and AI innovation at scale. This is not an execution-only role—this is end-to-end ownership of Conga’s enterprise data architecture strategy, ensuring the business has a consistent, reliable, and future-ready data foundation. What you’ll lead… - Enterprise Data Strategy & Architecture - Define and own the enterprise data architecture vision, roadmap, and governance model across all platforms. - Establish canonical data models and a single source of truth strategy across product surfaces. - Drive architectural standards for how data is modeled, stored, integrated, and exposed. - Lead decisions on data platform strategy (warehouse, lakehouse, hybrid) aligned with long-term business needs. - Data Integration & Platform Modernization - Define scalable patterns for data ingestion, transformation, and synchronization across Salesforce, microservices, APIs, and third-party systems. - Establish enterprise-wide strategies for event-driven and batch data integration, including latency and performance standards. - Lead efforts to modernize legacy data architectures and reduce technical debt across the ecosystem. - Data Consumption & Product Enablement - Partner with Engineering and Product to design a unified, UI-facing data layer supporting product experiences and external integrations. - Define standards for APIs (REST/GraphQL), data contracts, and abstraction layers that enable decoupled, scalable development. - Drive strategies for performance optimization, including caching, pre-aggregation, and materialization. - Governance, Trust & Compliance - Establish and enforce enterprise data governance frameworks aligned to SOC 2 and regulatory requirements. - Define standards for data quality, lineage, auditability, access controls, retention, and deletion. - Ensure consistent data stewardship, ownership, and accountability across domains. - AI & Analytics Enablement - Enable enterprise AI initiatives by defining reliable, high-quality, and well-governed data foundations. - Oversee architecture for feature stores, observability frameworks, and advanced data pipelines. - Partner with AI/ML teams to ensure scalable and production-ready data capabilities. - Leadership & Organizational Impact - Build, lead, and mentor a high-performing data architecture and engineering function. - Influence senior stakeholders across Engineering, Product, and GTM to drive alignment on data strategy. - Establish architectural governance processes, including decision frameworks and ADRs, across the organization. - Act as a trusted advisor to executive leadership on data strategy, risk, and investment decisions. Qualifications - 12+ years of experience in data architecture, data engineering, or related disciplines, including senior leadership roles. - Demonstrated success defining and scaling enterprise data strategies for SaaS platforms, including multi-tenant architectures. - Experience leading large-scale data transformations spanning legacy and modern cloud ecosystems. - Deep expertise in Salesforce data models and enterprise-scale integration patterns. - Proven ability to design systems supporting both real-time product experiences and analytics/AI workloads. - Strong knowledge of modern data technologies (e.g., Snowflake, Databricks, BigQuery, Redshift). - Experience with event streaming, CDC, ETL/ELT, and API-driven architectures. - Familiarity with governance, lineage, and cataloging tools (e.g., Collibra, Alation). - Working knowledge of AI/ML data infrastructure, including feature stores and vector-based systems. Requirements - Executive-Level Architectural Leadership: You set direction and make high-impact decisions that shape the company’s data strategy for the long term. - Strategic Communicator: You translate complex technical concepts into clear business outcomes for executive stakeholders. - Cross-Functional Influence: You drive alignment across engineering, product, and business teams in highly matrixed environments. - Operational Excellence & Scale: You build systems, practices, and teams that scale with the business while maintaining consistency and quality. Benefits - Competitive compensation and benefits packages. - Flexible work options. - Medical and dental insurance.