Jobs at The Hartford

Principal Technical Product Manager

Job Details Location: Hartford, CT Category: Data \& Analytics Employment Type: Full time, Remote Job Ref: R2625657-168 Dir Data Science - GD06AE 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. Principal Technical Product Manager (AI \& Data Science) Role Overview We are seeking a Principal Technical Product Manager to lead the strategy, development, and scaling of enterprise AI and data science products. This role sits at the intersection of product strategy, advanced analytics, and platform engineering, driving the end-to-end lifecycle from concept through production. As a senior individual contributor, you will operate as a product leader and technical translator, aligning stakeholders, shaping roadmaps, and ensuring delivery of high-impact AI solutions that deliver measurable business value. Key Responsibilities Product Strategy \& Vision * Define and own the product vision, strategy, and roadmap for AI/ML-driven products and data platforms * Translate business objectives into scalable, reusable AI product capabilities * Identify opportunities to leverage advanced analytics, machine learning, and generative AI to drive business impact End-to-End Product Ownership * Lead product lifecycle from opportunity identification POC MVP production scaling * Ensure products meet enterprise standards for architecture, governance, and compliance * Define success metrics (KPIs, adoption, ROI) and manage performance post-launch Technical Product Leadership * Partner closely with engineering, data science, and platform teams to: + Define technical requirements and architecture trade-offs + Prioritize backlog and align delivery to business value + Ensure solutions are scalable, secure, and production-ready * Stay current on AI/ML trends and evaluate emerging technologies Stakeholder \& Cross-Functional Alignment * Act as primary interface across business, technology, data science, and governance teams * Lead workshops and facilitate alignment on priorities, scope, and trade-offs * Communicate clearly with both executive and technical audiences Execution \& Delivery Excellence * Drive agile product development, including backlog prioritization and sprint planning * Manage dependencies across teams and ensure on-time, high-quality delivery * Proactively identify risks and implement mitigation strategies Governance, Risk, and Responsible AI * Ensure solutions adhere to enterprise AI governance, security, and compliance standards * Embed best practices for model validation, monitoring, explainability, and fairness * Partner with risk, legal, and security teams on production readiness Qualifications Experience * 10+ years of product management experience, including: + 10+ years in technical product management + Proven experience delivering data science, AI/ML, or analytics products * Track record of shipping products from concept to production at scale * Advanced understanding of adoption strategies and metrics Technical Skills * Strong understanding of: + Machine learning lifecycle (data prep, modeling, deployment, monitoring) + Data platforms (cloud, data pipelines, APIs, analytics tools) + AI/GenAI concepts (LLMs, prompt engineering, evaluation frameworks) * Ability to engage deeply in technical conversations with engineers and data scientists Leadership \& Execution * Demonstrated ability to lead cross-functional, matrixed teams * Strong prioritization and decision-making skills in ambiguous environments * Excellent communication and stakeholder management skills Education * Master’s degree in Computer Science, Engineering, Data Science, or related field (or equivalent experience) Preferred Qualifications * Experience building enterprise AI platforms or AI-enabled products, specifically in Gemini Enterprise Agent Platform * Familiarity with cloud environments (GCP, AWS, Azure) and modern data stacks * Experience with regulated industries (insurance, finance, healthcare) Key Skills for Regulated Industries: * Regulatory \& Compliance Acumen + Deep understanding of regulatory frameworks (e.g., SOX, GDPR, HIPAA, Model Risk Management) + Ability to translate regulatory requirements into product features, controls, and workflows * Responsible AI \& Model Governance + Experience implementing model validation, explainability, fairness, and bias detection + Familiarity with AI governance frameworks, auditability, and documentation standards + Ability to operationalize model risk management (MRM) practices across the product lifecycle * Data Privacy \& Security + Strong understanding of data protection, PII handling, and data classification + Experience partnering with security teams on access controls, encryption, and data lineage + Knowledge of secure AI/ML architectures (e.g., VPC controls, air-gapped environments) * Audit \& Traceability + Ability to ensure solutions are fully auditable, with clear lineage from data model output + Experience supporting internal/external audits with appropriate controls and documentation * Enterprise Risk Management + Ability to identify and manage operational, reputational, and compliance risks + Experience working with Legal, Risk, and Compliance functions to approve and scale AI solutions * Policy-to-Product Translation + Proven ability to take ambiguous regulatory or governance requirements and translate them into: - Product requirements - Acceptance criteria - Monitoring and reporting capabilities * Change Management \& Adoption in Regulated Environments + Experience driving adoption where risk sensitivity is high and approvals are multi-layered + Ability to balance innovation speed with control rigor 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: $153,200 - $229,800 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

Lead Collaboration Services Engineer

Lead IT Engineer - IE07ME 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 Lead Engineer for Microsoft 365, Azure, and AI Productivity Platforms serves as a senior technical leader responsible for architecting, governing, and operating M365 tenants. The role includes ownership of tenant administration, backup and disaster recovery, policy management, alongside deep involvement in Azure identity architecture, privileged access (PIM), RBAC, and conditional access for AI services. This engineer partners closely on Microsoft licensing lifecycle management, vendor coordination, and financial governance, ensuring accurate forecasting, true-ups, and enterprise agreement alignment. A core focus is designing and managing AI productivity platforms, including Microsoft Copilot and Google Gemini Enterprise, with responsibilities spanning multi-environment deployments, rollout strategies, and integration through connectors and identity federation. The position also leads complex integration engineering efforts, supports enterprise change management programs, collaborates with InfoSec on security posture and compliance, and drives incident resolution for high-impact production issues. Additionally, the role requires strong leadership in mentoring engineers, cross-functional collaboration, vendor engagement, and delivering strategic, enterprise-grade solutions through advanced technical expertise in M365, Azure, automation, and AI platform architectures. Required Skills Technical Skills * Microsoft 365 Administration – Expert-level tenant administration (Exchange Online, SharePoint Online, OneDrive for Business, Microsoft Teams, Power Platform), group-based licensing, M365 admin center, storage/policy management, M365 DSC * Azure Identity \& Access Management – Deep expertise in Azure Entra ID (Azure AD), PIM, RBAC, Conditional Access, hybrid identity, application registrations, service principals, OAuth/SAML/WIF authentication * AI Platform Architecture – Proven experience with Microsoft Copilot (M365 Copilot, Copilot Studio, agents, extensibility, connectors) and/or Google Cloud Platform (Gemini Enterprise, WIF, SCIM, Vertex AI, GCP organizational policies) * Microsoft Licensing \& Procurement – Strong knowledge of Enterprise Agreement (EA), Server and Cloud Enrollment (SCE), license reservations, true-up management, Microsoft invoice processing, and vendor coordination (Microsoft, SHI) * Azure Billing \& Cost Management – Hands-on experience with Azure Cost Management, invoice retrieval, Coupa/ERP integration, PO number mapping, and budget forecasting * PowerShell \& Automation – Proficiency in PowerShell scripting, Microsoft Graph API, Azure CLI, and infrastructure-as-code for tenant configuration management * Enterprise Integration – Experience with ServiceNow connectors, Microsoft Graph connectors, API authentication (OAuth/SAML), Model Context Protocol (MCP), Zscaler/SASE platforms, and CDN integration * Information Security – Knowledge of DLP, conditional access, application registration reviews, least-privilege access, and partnership with InfoSec teams * Change Management – Experience leading enterprise change assessment programs, coordinating cross-functional impact analysis, and DCR submission processes * Incident Management – Proven ability to triage production incidents, coordinate vendor escalations (Microsoft Premier Support), and manage critical service restorations Leadership \& Business Skills * Vendor Management \& Negotiation – Strong partnership and negotiation skills with Microsoft, SHI, Google, and enterprise vendors at executive and technical levels * Cross-Functional Collaboration – Demonstrated ability to partner with Security (THIP), Procurement, Finance, and business units to drive platform adoption and resolve complex issues * Technical Communication – Excellent written and verbal skills; ability to create technical documentation (TDDs, test plans, runbooks), present to leadership, and explain complex concepts to non-technical stakeholders * Mentorship \& Knowledge Transfer – Proven experience mentoring engineers on complex technical topics, operational processes, and best practices * Strategic Thinking \& Independent Execution – Ability to operate independently, prioritize competing demands, drive multi-quarter initiatives, and make sound technical/business decisions in ambiguous situations * Incident Leadership – Ability to serve as technical escalation point, coordinate resolution across teams/vendors, and provide expert guidance during high-pressure incidents Education \& Certifications * Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent experience) * 10+ years enterprise IT experience with 5+ years in Microsoft 365 and Azure administration at global/near-global admin level * Microsoft certifications strongly preferred: Microsoft 365 Certified: Enterprise Administrator Expert, Azure Administrator Associate, Identity and Access Administrator Associate, Security Administrator Associate * Google Cloud certifications preferred: Professional Cloud Architect, Cloud Engineer, Workspace Administrator * ITIL Foundation or service management certification preferred This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday). Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. 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: $128,800 - $193,200 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

Leave Management Ability Analyst - Hybrid

Leave Management Ability Analyst - Hybrid

Data Scientist Economist