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Key Data Operator Jobs (NOW HIRING)

M&G

Data Specialist 6mth FTC

Reading, PA · On-site

The Role: Data Specialist - 6 Month Fixed Term Contract or Secondment A key role of the ... are operating within M&G Prudential's Conduct Risk appetite. You will also support other key ...

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Key Data Operator information

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$9

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$43

How much do key data operator jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for key data operator in the United States is $20.80, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $21.39 per hour, depending on experience, location, and employer.

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

To thrive as a Key Data Operator, you need strong data entry skills, attention to detail, and proficiency in basic computer operations, often supported by a high school diploma or equivalent. Familiarity with office software like Microsoft Excel, data management systems, and sometimes industry-specific databases is typically required. Excellent time management, accuracy under pressure, and effective communication help individuals excel in this position. These skills and qualities are vital to ensure data integrity, efficient workflow, and reliable information processing within an organization.

What are some common challenges faced by Key Data Operators and how can they be addressed?

Key Data Operators often encounter challenges such as managing large volumes of data with tight deadlines and ensuring high accuracy to prevent errors. Staying focused and maintaining attention to detail is essential, especially when repetitive tasks can lead to fatigue. Utilizing data validation tools, taking regular breaks, and double-checking entries can help minimize mistakes. Additionally, effective communication with team members and supervisors is important when clarifying data discrepancies or workflow issues.

What are Key Data Operators?

Key Data Operators are professionals responsible for entering, updating, and managing data in computer systems or databases. They ensure that information is accurately captured, maintained, and easily accessible for organizational needs. Their role often involves verifying data, correcting errors, and maintaining confidentiality of sensitive information. Key Data Operators play a crucial part in supporting business operations by keeping records organized and up-to-date.

What is the difference between Key Data Operator vs Data Entry Clerk?

AspectKey Data OperatorData Entry Clerk
Required CredentialsHigh school diploma, basic data management skillsHigh school diploma or equivalent, basic computer skills
Work EnvironmentOffice settings, data processing centersOffice environments, administrative settings
Employer & Industry UsageBusinesses handling large datasets, data processing firmsAdministrative departments, customer service centers
Search & Comparison IntentOften compared for data handling roles, technical skillsCompared for administrative data input tasks

The Key Data Operator typically manages larger datasets with a focus on data accuracy and processing, often requiring some technical skills. In contrast, a Data Entry Clerk primarily inputs data into systems, emphasizing speed and basic computer proficiency. Both roles are essential in data management but differ in scope and complexity.

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Key Data Operator jobs near you
Infographic showing various Key Data Operator job openings in the United States as of May 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $43,254 per year, or $20.8 per hour.
Global Head of Data & AI Governance & Oversight, SVP

Global Head of Data & AI Governance & Oversight, SVP

State Street Corporation

Boston, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Job description

The Head of Data & AI Governance and Risk is accountable for ensuring that all enterprise Data, AI, and Agentic AI capabilities are well-governed, high-quality, trusted, and regulator-ready, while enabling innovation to scale safely across all lines of business.
  • This role defines and maintains the enterprise policies, standards, and governance operating model for Data and AI and serves as the single global point of accountability for Data and AI-related regulatory, audit, and supervisory engagement.

  • The role operates proactively, anticipating regulatory direction and strengthening the firm's posture ahead of examinations. It actively engages in all ongoing regulatory efforts related to data, risk, and AI, partnering with appropriate bank owners to ensure coordinated execution and durable remediation.

  • In partnership with each line of business, this role defines the strategic target state for Data and AI governance, ensuring clarity and consistency across ownership, stewardship, authoritative sourcing, data quality, and approval expectations.

  • The role is intentionally independent of platform build, model development, and use-case delivery. Success is measured by regulatory confidence, enterprise trust, data quality, and speed enabled through strong governance and streamlined processes.

Role Mandate
Establish and operate enterprise-wide governance, risk, and regulatory oversight for Data, AI, and Agentic AI-including authoritative data sourcing-and proactively elevate the firm's regulatory posture while enabling streamlined, standard approval of AI capabilities across the enterprise.
Role Purpose
The Head of Data & AI Governance and Risk is accountable for ensuring that all enterprise Data, AI, and Agentic AI capabilities are well-governed, high-quality, trusted, and regulator-ready, while enabling innovation to scale safely across all lines of business.
This role defines and maintains the enterprise policies, standards, and governance operating model for Data and AI and serves as the single global point of accountability for Data and AI-related regulatory, audit, and supervisory engagement.
The role operates proactively, anticipating regulatory direction and strengthening the firm's posture ahead of examinations. It actively engages in all ongoing regulatory efforts related to data, risk, and AI, partnering with appropriate bank owners to ensure coordinated execution and durable remediation.
In partnership with each line of business, this role defines the strategic target state for Data and AI governance, ensuring clarity and consistency across ownership, stewardship, authoritative sourcing, data quality, and approval expectations.
The role is intentionally independent of platform build, model development, and use-case delivery. Success is measured by regulatory confidence, enterprise trust, data quality, and speed enabled through strong governance and streamlined processes.
Key Responsibilities
Enterprise Data, AI & Agentic AI Governance
  • Define, maintain, and evolve enterprise-wide policies, standards, and control frameworks for:

  • Data governance and data management

  • AI, GenAI, and Agentic AI

  • Responsible AI and AI risk classification

  • Third-party and vendor AI usage

  • Ensure governance applies across the full lifecycle of data and AI assets, from design through retirement.

Strategic Governance Target State (LOB Partnership)
  • Partner with each line of business to define and maintain the target state for Data and AI governance aligned to enterprise standards and regulatory expectations.

  • Translate enterprise governance principles into domain-specific, actionable models.

  • Provide governance leadership into Data & AI roadmaps without owning delivery or architecture decisions.

Authoritative Data Sources, Ownership & Stewardship
  • Establish and operate the enterprise framework for authoritative data sources by data domain and key data element.

  • Partner with data owners and data stewards to:

  • Designate approved and trusted data sources

  • Resolve conflicts between competing sources

  • Ensure lineage, data quality, and fitness for purpose

  • Ensure consistent use of authoritative data sources across analytics, reporting, and AI use cases.

Enterprise Data Competency
  • Institutionalize the enterprise data governance operating model, including:

  • Data ownership and accountability

  • Data steward roles and responsibilities

  • Management of key data elements and critical data assets

  • Embed data accountability into business processes across all lines of business.

AI Inventory, Classification & Streamlined Approvals
  • Own the enterprise inventory of AI initiatives across AI, GenAI, ML, and Agentic AI.

  • Ensure inventories, classifications, and definitions align with NIST AI Risk Management Framework and applicable regulatory expectations.

  • Design and operate streamlined, tiered approval processes for all AI types, ensuring:

  • Consistent intake and classification

  • Clear routing to required partners (e.g., Model Risk Management, Legal, Privacy, Security)

  • Predictable and efficient approval timelines

  • Monitor adherence to approval processes and continuously improve them to reduce friction and late-stage escalation.

Model Risk Management Partnership
  • Partner closely with the Model Risk Management (MRM) function.

  • Ensure AI and ML use cases are appropriately classified and routed to MRM where required.

  • Align governance standards and approval workflows with MRM requirements without duplicating or owning MRM accountabilities.

Data Quality & Data Incident Management
  • Define enterprise standards for data quality measurement, monitoring, and control.

  • Own enterprise processes for data issues and incidents, including root cause analysis, remediation tracking, and escalation.

  • Partner with business and platform teams to embed preventive and detective quality controls.

Regulatory Leadership & Proactive Engagement
  • Act as the single enterprise point of contact for regulators, audit, and external inquiries related to Data and AI.

  • Proactively assess emerging regulatory expectations and drive early alignment across the firm.

  • Coordinate and participate in all active regulatory efforts relating to data, technology, and AI, working with appropriate bank owners.

  • Lead regulatory examinations, findings, and remediation programs (e.g., BCBS 239, MRAs).

  • Ensure regulatory learnings are converted into durable governance and process improvements.

Enterprise Partnership & Operating Model Stewardship
  • Partner with:

  • Data Architecture to align governance intent with target architectures

  • Data & AI Platforms to embed controls, approvals, and authoritative sourcing

  • Enablement teams to operationalize compliant pathways

  • Business leaders to adopt governance consistently

  • Maintain independence from delivery while actively shaping enterprise design decisions.

  • Continuously evolve governance practices to match regulatory and technology change.

Salary Range:
$225,000 - $337,500 Annual
The range quoted above applies to the role in the location specified. If the candidate would ultimately work outside of the location above, the applicable range could differ.
Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.
For a full overview, visit https://hrportal.ehr.com/statestreet/Home.
About State Street
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
Discover more information on jobs at StateStreet.com/careers
Read our CEO Statement
Job Application Disclosure:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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About State Street

Sourced by ZipRecruiter

State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we're making our mark on the financial services industry. For more than two centuries, we've been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

Year founded

1792

Social media

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