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About the Role

The Head of Data Engineering, Corp & Enterprise is a mid-leadership role responsible for the end-to-end data engineering lifecycle, including data acquisition, ingestion, transformation, and delivery of production-ready data products. This role owns the strategy, architecture, engineering execution, and operational health of the data supply chain. It's a player-coach position leading a team of US FTEs and providing direction to an indirect engineering team in India, focusing on building a high-performing, globally distributed delivery model. The role also includes maturing the Master Data Management (MDM) practice and transforming data engineering using AI agents and agentic AI.

Responsibilities

Own end-to-end data engineering for Corporate business units and Enterprise, including data acquisition, ingestion, integration, transformation, curation, and publication of data products.
Define and execute the data engineering strategy and multi-year roadmap, aligned with business unit priorities and enterprise data and AI strategy.
Lead, coach, and develop a team of FTE data engineers and provide direction, standards, and delivery oversight to an indirect engineering team in India.
Operate as a player-coach, staying hands-on with solution design, code and pipeline reviews, and complex troubleshooting.
Own and manage the MDM platform and operations on Reltio, including data modeling, match/merge rules, survivorship, workflows, integrations, and API-based consumption.
Mature the MDM practice into an enterprise-grade discipline, improving golden record quality and expanding mastered domains.
Lead the transformation of data engineering using agentic AI, deploying AI agents for various engineering tasks.
Champion AI-assisted engineering practices, redefining team workflows and productivity expectations.
Deliver governed, discoverable, reusable data products with clear contracts, SLAs, lineage, and ownership.
Partner with AI/ML, analytics, reporting, and application teams to ensure data products are AI-ready.
Establish and enforce engineering standards, reusable patterns, CI/CD, DataOps automation, and observability.
Build reusable tools, libraries, frameworks, and shared services to scale engineering best practices.
Drive data quality, reliability, and operational excellence, defining SLAs/SLOs and ensuring resilient cloud data platform operations.
Embed data governance, privacy, security, and regulatory compliance requirements into all data engineering and MDM solutions.
Manage vendor relationships and platform economics, focusing on value and FinOps discipline.
Influence and align senior business and technology stakeholders, translating business needs into engineering priorities.
Recruit, retain, and grow top engineering talent, building succession depth.
Be available for production incidents with major impact to business operations.

Requirements

12+ years of progressive data engineering experience, including 5+ years leading data engineering teams and delivery at scale in a large enterprise.
Experience in Finance, actuaries, HR related data and workflows.
Proven experience leading globally distributed teams, including direct FTE leadership and indirect/offshore teams in India, within a matrixed organization.
Demonstrated ability to operate as a player-coach, setting strategy and leading people while staying hands-on with architecture, design, and engineering.
Deep expertise across the end-to-end data engineering lifecycle: data acquisition, batch and streaming ingestion, ELT/ETL, data modeling, curation, and productionization of data products.
Strong hands-on knowledge of the modern data stack including cloud data platforms, orchestration, transformation frameworks, streaming, and CI/CD-driven DataOps.
A strong software engineering mindset and execution skills, with a proven track record of designing and building reusable tools, libraries, and frameworks.
Strong Master Data Management expertise with deep, practical knowledge of Reltio - data modeling, match/merge and survivorship configuration, workflows, integrations, and APIs.
Forward-leaning experience with AI-assisted and agentic engineering using LLMs and AI agents for code generation, testing, data quality, observability, and autonomous operations.
Experience delivering AI/ML-ready data and GenAI/retrieval-ready data foundations.
Strong grounding in data governance, data quality, metadata, lineage, and privacy/security practices, ideally in a regulated industry.
A data-as-a-product mindset with experience defining data contracts, SLAs, and consumer-driven design.
Excellent leadership and communication skills, with the ability to influence senior stakeholders and convey complex technical concepts to business audiences.
Experience with Agile / product-based delivery models and managing delivery across onshore/offshore teams.
A bias for action, high standards, and the ability to balance transformation ambition with operational stability.

Skills

Data Engineering
Master Data Management (MDM)
Reltio
AI Agents
Agentic AI
Data Acquisition
Data Ingestion
Data Transformation
Data Products
AI/ML
Reporting
Analytics
Business Applications
Data Supply Chain
Strategy
Architecture
Engineering Execution
Operational Health
Player-Coach
Team Leadership
Global Delivery Model
Engineering Discipline
Culture of Ownership
Technical Acumen
Solution Design
Code Reviews
Pipeline Reviews
Troubleshooting
Quality Assurance
MDM Operations
Match and Merge Rules
Survivorship
Golden Record Quality
Data Stewardship
Workflows
Domain Expansion
Reltio Data Model
Reltio APIs
AI-Assisted Development
Autonomous Data Quality
Observability Agents
Agentic Workflows
Speed
Reliability
Scale
AI-Assisted Engineering
Governed Data Products
Discoverable Data Products
Reusable Data Products
Data Contracts
SLAs
Lineage
Ownership
Data as a Product
AI-Ready Data
Feature Pipelines
Model Training Data
Retrieval-Ready Datasets
GenAI
Engineering Standards
Reusable Patterns
CI/CD
DataOps Automation
Observability
Tools
Libraries
Frameworks
Shared Services
Best Practices
Data Quality
Reliability
Operational Excellence
SLOs
Incident Reduction
Resilient Cloud Data Platform
Cost-Optimized Cloud Data Platform
Data Governance
Privacy
Security
Regulatory Compliance
Vendor Management
Platform Economics
Cloud Data Platform Spend
FinOps
Stakeholder Management
Business Needs Translation
Progress Communication
Risk Communication
Outcome Communication
Talent Recruitment
Talent Retention
Talent Growth
Succession Depth
Technical Maturity
Agile Delivery
Product-Based Delivery
Onshore/Offshore Team Management
Bias for Action
High Standards
Transformation Ambition
Operational Stability

Location

Holmdel, NJ
New York, NY
Bethlehem, PA

Work Type

Hybrid

Experience Level

Mid-leadership
12+ years of experience
5+ years of leadership experience

Salary/Compensations

$152,290.00 - $250,195.00

Benefits

Skill-building
Leadership development
Philanthropic opportunities
Supportive and flexible benefits and resources
Contemporary benefits
Inclusive benefits

About the Company

At Guardian, you’ll have the support and flexibility to achieve your professional and personal goals.
Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards.
As part of Guardian’s Purpose – to inspire well-being – we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues.
Explore our company benefits at www.guardianlife.com/careers/corporate/benefits.
Benefits apply to full-time eligible employees.
Interns are not eligible for most Company benefits.

Equal Opportunity

Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law.
Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities.
Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship.
Guardian Life is not currently or in the foreseeable future sponsoring employment-based visas (e.g., such as an H-1B). In order to be a successful applicant, you must be legally authorized to work in the United States, without the need for employer sponsorship/support now or at any time in the future.