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Chief Data Architect Jobs (NOW HIRING)

Vangard, Inc.

Chief Data Domain Architect

Charlotte, NC

$62.25 - $80/hr

Partnering closely with business, product, and engineering teams, the Chief DomainArchitect ... Models, defines, transforms, integrates and provides data architecture solutions from varying ...

Vangard, Inc.

Chief Data Domain Architect

Malvern, PA

$62.50 - $80.50/hr

Partnering closely with business, product, and engineering teams, the Chief DomainArchitect ... Models, defines, transforms, integrates and provides data architecture solutions from varying ...

IDBNY

Chief Data Officer

Manhattan, NY · On-site

$225K - $275K/yr

Chief Data Officer (CDO) Role Overview The Chief Data Officer (CDO) is a senior executive ... Data Architecture & Infrastructure * Collaborate with IT to design scalable data platforms and ...

Brown & Brown Insurance

Chief Data Officer

Plano, TX

$250K - $350K/yr

Brown & Brown isseekinga Chief Data Officer to join our growing team! This role offers a hybrid ... Define architectural standards that ensure scalability, interoperability, and resilience.

Brown & Brown, Inc.

Chief Data Officer

Charlotte, NC · On-site +1

$250K - $350K/yr

The Chief Data Officer (CDO) is a senior executive responsible for defining, building, and scaling ... Define architectural standards that ensure scalability, interoperability, and resilience.

GSRINC

Chief AI & Data Architect

Oakland, CA · Hybrid

$73.25 - $94.25/hr

Chief AI & Data Architect Location: Oakland CA Duration: June 01, 2026 November 30, 2026 **LOCAL CANDIDATES ONLY. Hybrid. The team needs this role in OGO at least 2 days a week on Tuesday and Wed.

Neos Consulting

Data Architect

Austin, TX · On-site +1

$63.25 - $81.25/hr

Partnering with the Chief Enterprise Data Architect, you will drive data strategy, architecture, and implementation that align with our business. Responsibilities - Cloud Data Architecture Design and ...

360 IT Professionals

Data Architect

Tallahassee, FL · On-site

$60.50 - $78/hr

Data Architect MUST HAVE: Bachelor's Degree or higher Experience with ("in production ... CIO) to functional and technical staff-level positions Hands on experience with one or more ERP ...

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All JobsChief Data Architect Jobs

Chief Data Architect information

See salary details

$104.5K

$177.6K

$253K

How much do chief data architect jobs pay per year?

As of Jun 7, 2026, the average yearly pay for chief data architect in the United States is $177,571.00, according to ZipRecruiter salary data. Most workers in this role earn between $150,000.00 and $195,000.00 per year, depending on experience, location, and employer.

How does a Chief Data Architect typically collaborate with other departments to shape an organization’s data strategy?

A Chief Data Architect works closely with IT, business units, and executive leadership to design and implement data systems that align with organizational goals. They facilitate communication between technical teams and stakeholders to ensure data solutions support business needs, compliance, and scalability. Regular cross-functional meetings and workshops are common, enabling the architect to gather requirements, address challenges, and guide teams in adopting best data practices. This collaborative approach ensures a unified data strategy and fosters innovation across the organization.

What are the key skills and qualifications needed to thrive as a Chief Data Architect, and why are they important?

To thrive as a Chief Data Architect, you need deep expertise in data modeling, database design, and enterprise data management, typically supported by a degree in computer science or a related field. Familiarity with data warehousing tools, cloud platforms (such as AWS, Azure, or Google Cloud), and certifications like CDMP or cloud architect credentials are highly valuable. Strategic thinking, leadership, and strong communication skills help drive cross-functional alignment and successful data initiatives. These competencies ensure robust, scalable data architectures that support business goals and enable effective data-driven decision-making.

What is the difference between Chief Data Architect vs Data Engineer?

AspectChief Data ArchitectData Engineer
CredentialsTypically requires advanced degrees in data science, computer science, or related fields; certifications like CDMP or DAMA are commonOften requires a bachelor's or master's in computer science, software engineering, or related fields; certifications like Google Cloud Professional Data Engineer or AWS Data Analytics are beneficial
Work EnvironmentStrategic role involving designing data architecture, overseeing data management policies, and collaborating with executive teamsOperational role focused on building, maintaining, and optimizing data pipelines and infrastructure
Industry UsageCommonly found in large enterprises, financial institutions, and tech companiesWidely used across industries including tech, finance, healthcare, and retail

The Chief Data Architect focuses on designing and overseeing the overall data strategy and architecture, while the Data Engineer implements and maintains the data systems. Both roles require technical expertise, but the architect has a broader, strategic focus, whereas the engineer is more hands-on with data infrastructure.

What is a Chief Data Architect?

A Chief Data Architect is a senior technology leader responsible for designing and managing an organization's overall data architecture strategy. This role involves setting data standards, ensuring data quality and security, and aligning data initiatives with business objectives. Chief Data Architects oversee the integration of data from multiple sources, guide the adoption of new data technologies, and collaborate with other executives to maximize the value of data assets.
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Chief Data Architect jobs near you
Infographic showing various Chief Data Architect job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $177,571 per year, or $85.4 per hour.
Chief AI & Data Architect

Chief AI & Data Architect

Pacific Gas and Electric Company

Oakland, CA • On-site

$73.25 - $94.25/hr

Full-time

Posted 11 days ago

Pacific Gas and Electric Company rating

9.0

Company rating: 9.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

Job description

Requisition ID # 172494
Job Category: Information Technology
Job Level: Director/Chief
Business Unit: Information Technology
Work Type: Hybrid
Job Location: Oakland
Position Summary
The Chief AI & Data Architect is accountable for the enterprise-wide strategy, governance, and value realization of Artificial Intelligence, Advanced Analytics, and Data. This role ensures that data is trusted, governed, reusable, and AI-ready, and that AI capabilities are deployed safely, compliantly, and at scale across a regulated enterprise. As this is a director level role, this person typically does not own all enterprise AI execution directly, but they orchestrate the strategy, prioritization, standards, and cross-functional alignment needed to make AI investments produce measurable business outcomes.
The Chief serves as the bridge between data foundations and AI-driven outcomes, ensuring alignment across business strategy, technology platforms, risk management, and regulatory obligations.
This position is hybrid, working from your remote office and the Oakland General Office Headquarters.
Reporting
Reports into the Senior Director, Enterprise Strategy & Architecture.
Job Responsibilities
Enterprise AI & Data Strategy
  • Define and own the integrated AI and Data strategy, roadmap, and operating model aligned with enterprise goals and regulatory commitments.
  • Partner with leaders to prioritize AI and data use cases that deliver measurable value (safety, reliability, efficiency, customer outcomes).
  • Ensure AI investments are grounded in strong data foundations and avoid unmanaged experimentation.
  • Develop the enterprise AI vision, principles, and multi-year roadmap
  • Align AI priorities to business strategy, growth goals, cost optimization, risk reduction, customer experience, and operational efficiency
  • Identify where AI should be used-and where it should not be used
  • Establish standards across:
    • Generative AI
    • Predictive AI / machine learning
    • Automation / intelligent workflows
    • AI-enabled analytics and decision support
  • Reduce duplication and fragmentation across AI and analytics efforts.

Data Architecture
  • Serve as owner for enterprise data architecture including developing strategy, standards
  • Ensure data policies, standards, and controls support AI/ML, GenAI, and analytics use cases.
  • Establish standards for Data Products
  • Ensure the enterprise data architecture is fit-for-purpose for AI at scale, not just reporting.
  • Define the target-state data architecture principles to support AI (e.g., data products, data mesh/fabric, feature-ready data layers)
  • Align data architecture to AI use cases such as:
    • GenAI (context + retrieval layers)
    • ML models (training + feature pipelines)
    • Real-time decisioning (streaming architectures)
    • Advocate for architecture patterns that enable:
    • Structured and unstructured data integration
    • Metadata-driven pipelines
    • High-quality, reusable datasets for AI
  • Ensure AI strategy is grounded in realistic data capabilities and constraints
  • Define and enforce enterprise data standards that make AI scalable and reusable.
  • Define standards for:
    • Data modeling approaches (e.g., canonical models, domain-oriented models)
    • Data product design (ownership, SLAs, discoverability)
    • Feature engineering reuse and standardization
    • Metadata and semantic layers to support AI explainability
  • Ensure consistent handling of:
    • structured vs. unstructured data (documents, images, logs, transcripts)
    • embeddings and vector data (for GenAI)
  • Promote "build once, reuse many" data principles

AI Platform, Architecture & Delivery
  • Own strategy for AI and data platforms, including model lifecycle management, data pipelines, and AI enablement.
  • Ensure AI and data solutions are secure, scalable, auditable, and cost-effective.
  • Partner with all areas of IT to define reference architectures and approved patterns.

Governance, Risk & Responsible AI
  • Establish and enforce AI frameworks, including intake, classification, approval gates, and production readiness.
  • Operationalize Responsible AI principles (privacy, transparency, explainability, human oversight).
  • Collaborate closely with Legal, Cybersecurity, Privacy, Compliance, and Risk functions to ensure regulatory alignment.

Executive & Board Engagement
  • Serve as the enterprise technical authority on AI and Data for executive leadership, regulators, and the Board.
  • Prepare executive recommendations, investment cases, and decision materials
  • Act as a strategic advisor to executives on AI opportunities and implications
  • Translate complex technical topics into clear, decision-oriented executive insights.
  • Monitor external technology, regulatory, and industry trends to inform strategy.
  • Facilitate alignment across business units and corporate functions
  • Resolve conflicts around priorities, ownership, funding, and standards
  • Lead or support steering committees and leadership forums related to AI

Background Qualifications
Minimum
  • BA/BS degree in Computer Science, Engineering, Business or related field or equivalent experience.
  • 12 years of enterprise architecture experience.

Desired
  • 15+ years of leadership experience across data, analytics, AI, or enterprise technology.
  • Proven experience delivering enterprise-scale AI and data programs in complex, regulated environments.
  • Strong understanding of data modeling, cloud platforms, AI/ML lifecycle management, and risk controls.
  • Executive leadership presence with the ability to influence across different lines of business including operations, and IT.
  • MA/MS in Computer Science, Information Systems, Information Security or other Technology Discipline
  • Experience with specific technologies, systems and platforms related to a domain or associated sub-domain.
  • Experience with hardware, networks, software technologies, applications, and modeling techniques related to a domain or associated sub-domain.
  • Experience consulting with IT leadership on creating a strategic vision and direction with specific technologies, systems and platforms related to a domain.

Success Measures
  • Measurable enterprise value delivered from AI and analytics.
  • Reduction in ungoverned or duplicative AI initiatives.
  • Increased confidence from all Functional Areas, regulators, auditors, and executives in AI and data practices.
  • AI becomes an enterprise capability, not just isolated experiments

Leadership Qualities
PG&E expects its leaders to conduct themselves with the highest ethics and integrity and to embody specific leadership qualities.
Strategic Mindset
  • Sees ahead to future possibilities and translates them into breakthrough strategies.
  • Operates effectively, even when things are not certain, or the way forward is not clear.

A Leader in the Community and Industry
  • Effectively builds formal and informal relationship networks inside and outside the organization.
  • Anticipates and balances the needs of multiple stakeholders.

Demonstrates Safety Leadership
  • A safety champion in words and deeds with respect to both employee and public safety.
  • Creating and maintaining a speak up culture free of retaliation.

Influences and Inspires
  • Using various- communications that convey a clear understanding of the needs of different audiences.
  • Maneuvering comfortably through complex policy, process, and people-related dynamics.

Optimizes Team Performance
  • Building teams with a strong identity that apply their diverse skills and perspectives to achieve common goals.
  • Creating a climate where people are developed and motivated to do their best to help the organization.

Values Inclusion and Respects Individual Differences
  • Recognizing the value that different perspectives and cultures bring to an organization.

Fiscally Responsible
  • Interpreting and applying understanding of key financial indicators to make better business decisions.
  • Planning and prioritizing work to meet commitments aligned with organizational goals.

Leads Ethically and in a Compliant Manner
  • Sponsoring and sustaining a high integrity speak-up corporate culture which prioritizes safety, compliance, and ethics.
  • Building on necessary level of industry, company, and subject-matter expertise, including laws and regulations.

Provides a High Level of Customer Service
  • Building strong customer relationships and delivering hometown, customer-centric solutions.

Compensation
PG&E is providing the salary range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, and internal equity.
We estimate the successful candidate hired into this role will be placed within the reasonable compensation range of $192,800 to $277,150. The decision will be made on a case-by-case basis. This leadership role is also eligible for an annual Short Term Incentive Plan (STIP) award, as well as the Long Term Incentive Plan (LTIP) grant.
Purpose, Virtues and Stands
Our Purpose explains "why" we exist:
  • Delivering for our hometowns
  • Serving our planet
  • Leading with love

Our Virtues capture "who" we need to be:
  • Trustworthy
  • Empathetic
  • Curious
  • Tenacious
  • Nimble
  • Owners

Our Stands are "what" we will achieve together:
  • Everyone and everything is always safe
  • Catastrophic wildfires shall stop
  • It is enjoyable to work with and for PG&E
  • Clean and resilient energy for all
  • Our work shall create prosperity for all customers and investors

More About Our Company
EEO
Pacific Gas and Electric Company is an Equal Employment Opportunity employer that actively pursues and hires a workforce that reflects the hometowns we serve. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, age, religion, physical or mental disability status, medical condition, protected veteran status, marital status, pregnancy, sexual orientation, gender, gender identity, gender expression, genetic information or any other factor that is not related to the job.
Employee Privacy Notice The California Consumer Privacy Act (CCPA) goes into effect on January 1, 2020. CCPA grants new and far-reaching privacy rights to all California residents. The law also entitles job applicants, employees and non-employee workers to be notified of what personal information PG&E collects and for what purpose. The Employee Privacy Notice can be accessed through the following link: Employee Privacy Notice
PG&E will consider qualified applicants with arrest and conviction records for employment in a manner consistent with all state and local laws.

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