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Technology Operations Enterprise Data Strategy Jobs

This leader ensures that data becomes a strategic asset--fueling revenue growth, operational ... Experience with enterprise data platforms, cloud technologies, and data integration tools. * Proven ...

As Toast scales and AI becomes central to its product and operational strategy, EDS serves as the ... technology leadership. Data Governance Framework * Design and implement Toast's enterprise data ...

Senior Enterprise Data Architect

Zeeland, MI · Hybrid

$62 - $82.75/hr

... enterprise data strategy and architecture to directly enable business growth, operational ... Drive enterprise-wide reduction of data and technology redundancy ("integration and data debt"

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Technology Operations Enterprise Data Strategy information

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How much do technology operations enterprise data strategy jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for technology operations enterprise data strategy in the United States is $71.92, according to ZipRecruiter salary data. Most workers in this role earn between $62.50 and $82.45 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in Technology Operations Enterprise Data Strategy, and why are they important?

To excel in Technology Operations Enterprise Data Strategy, you need strong expertise in data management, analytics, and strategic planning, often backed by a degree in computer science, information systems, or a related field. Familiarity with data warehousing solutions, ETL tools, data governance frameworks, and certifications like CDMP or AWS Certified Data Analytics is highly valuable. Exceptional problem-solving, stakeholder management, and communication skills help drive cross-functional initiatives and align data strategies with business goals. These competencies ensure effective data-driven decision making, operational efficiency, and long-term organizational success.

How does a Technology Operations Enterprise Data Strategy professional typically collaborate with other departments within an organization?

Professionals in Technology Operations Enterprise Data Strategy work closely with multiple departments, such as IT, business analytics, compliance, and executive leadership. They often facilitate communication between technical teams and business stakeholders to ensure that data initiatives align with organizational goals. This role involves coordinating data governance policies, integrating new technologies, and supporting data-driven decision-making across the enterprise. Successful collaboration requires strong communication skills and a deep understanding of both technical and business perspectives.

What is Technology Operations Enterprise Data Strategy?

Technology Operations Enterprise Data Strategy refers to the planning, management, and implementation of data-related processes and technologies across an organization to support its operational goals. This role involves setting standards for data governance, ensuring data quality, and aligning data initiatives with business objectives. Professionals in this field work to optimize data flow, storage, and security, enabling better decision-making and efficiency. They often collaborate with IT, business units, and data analytics teams to ensure data assets are leveraged effectively across the enterprise.

What is the difference between Technology Operations Enterprise Data Strategy vs Data Analyst?

AspectTechnology Operations Enterprise Data StrategyData Analyst
CredentialsTypically requires a degree in IT, Data Science, or related fields; certifications like CDMP or CBIP are commonRequires a degree in Statistics, Data Science, or related fields; certifications like Microsoft Data Analyst Associate or Tableau Desktop Specialist are common
Work EnvironmentFocuses on strategic planning, data governance, and infrastructure within enterprise IT teamsFocuses on data collection, analysis, and reporting to support business decisions
Employer & Industry UsageUsed in large organizations managing enterprise data assets and IT operationsUsed across industries for data reporting, visualization, and insights

While Technology Operations Enterprise Data Strategy professionals focus on aligning data initiatives with business goals and managing data infrastructure, Data Analysts primarily analyze data to generate actionable insights. Both roles require strong analytical skills but differ in scope and strategic involvement.

What cities are hiring for Technology Operations Enterprise Data Strategy jobs? Cities with the most Technology Operations Enterprise Data Strategy job openings:
What states have the most Technology Operations Enterprise Data Strategy jobs? States with the most job openings for Technology Operations Enterprise Data Strategy jobs include:

Data Operations - Enterprise Market Data Strategy Lead

Careers at KKR

New York, NY

Full-time

Re-posted 6 days ago


Job description

TEAM OVERVIEW

KKR's Global Data Operations team is an enterprise data management and delivery organization focused on making the firm's data more trusted, connected, actionable, and valuable. The team provides leverage across the full data lifecycle, from data sourcing and collection through data quality, enrichment, governance, reporting, and analytics. Working globally across KKR's businesses and functions, Data Operations partners with stakeholders to translate complex data needs into scalable solutions, stronger operating processes, and high-quality insights that improve transparency, accelerate decision-making, and help the firm operate with greater speed, consistency, and intelligence.

Within Data Operations, KKR is establishing a new Enterprise Market Data Strategy capability to shape the future of one of the firm's most critical information assets. This role will define and drive the firm-wide strategy for market data, partnering across businesses and functions to optimize investments, unlock greater value from data providers, and ensure market data capabilities evolve alongside KKR's growth. The leader will influence commercial negotiations, steer enterprise-wide demand management, drive transparency into spending and usage, and build the operating model, reporting, and tools that enable smarter decision-making across the firm. Working at the intersection of strategy, data, finance, and operations, this role offers a unique opportunity to create a scalable market data ecosystem that enhances investment insight, improves efficiency, and delivers measurable enterprise value.

POSITION OVERVIEW

We are seeking a Principal, Enterprise Market Data Strategy to serve as the dedicated enterprise lead for market data strategy, execution, and optimization within KKR's Global Data Operations organization. This is a newly created role designed to elevate a critical capability area - building a structured, enterprise-wide approach to KKR's market data landscape, spanning hundreds of vendor relationships, thousands of product subscriptions, and millions of dollars in annual spend across multiple business lines and functions.

The scope of this role is strategic and cross-functional. The person in this seat will own KKR's overall market data vision, build deep knowledge of the firm's vendor and product ecosystem, develop a comprehensive enterprise inventory, drive demand management and optimization, create transparency around spend and utilization, and establish the governance cadences and decision-making processes needed to manage market data. They will partner actively with business COOs, Sourcing, Legal, FP&A, Technology, and Data Operations to connect insights across the organization, align market data investments with business priorities, and build a scalable enterprise capability that delivers measurable value across the firm.

The ideal candidate combines deep knowledge of the market data vendor and product ecosystem with the strategic orientation, executive presence, and cross-functional execution discipline required to operate as a senior leader at a world-class investment firm. This person understands financial services workflows, market data products and commercial models, vendor landscapes, and how investment professionals, Technology, Finance, Legal, Sourcing, and Data teams interact around market data decisions. They operate with the independence, judgment, and ownership expected at the Principal level - and they will treat this program as their own franchise to build.

This position reports directly to the Global Head of Data Operations.

RESPONSIBILITIES

  • Own KKR's enterprise market data strategy, including spend optimization, demand management, vendor rationalization, and alignment of market data investments with business priorities.
  • Develop and maintain a comprehensive view of KKR's market data landscape, including vendors, products, contracts, entitlements, usage, and spend.
  • Lead evaluation and governance of market data demand, ensuring new requests, existing subscriptions, and vendor relationships deliver measurable business value and ROI.
  • Serve as the business owner of the Calero platform, defining its vision, requirements, and operating model to provide enterprise-wide visibility into market data inventory, licensing, usage, and contracts.
  • Partner with business leaders, COOs, FP&A, Sourcing, Legal, Technology, and Data Operations to understand needs, manage tradeoffs, and support strategic market data decisions across the firm.
  • Drive transparency and accountability through reporting, budgeting, forecasting, renewal planning, and executive-level communications, including Market Data Steering Committee updates.
  • Lead commercial optimization initiatives, including vendor consolidation, contract negotiations, license right-sizing, entitlement management, and other opportunities to improve efficiency and reduce costs.
  • Ensure effective operational management of the market data ecosystem, including contract compliance, license governance, technology enablement, and support for scalable processes and controls.

QUALIFICATIONS

  • 8-12 years of experience in market data strategy, market data operations, data product management, vendor management, or related roles within financial services, market data providers, or information services firms.
  • Deep knowledge of the market data ecosystem, including major providers such as Bloomberg, LSEG, FactSet, S&P Global, MSCI, ICE, and Moody's, as well as their products, licensing models, commercial structures, and competitive positioning.
  • Strong understanding of how market data is consumed across investment research, portfolio management, trading, risk, compliance, operations, and finance workflows.
  • Experience managing enterprise market data platforms, inventories, entitlements, vendor catalogs, or related solutions such as Calero, TRG Screen, Alveo, or similar technologies.
  • Strong commercial and analytical skills, with the ability to evaluate vendor proposals, negotiate complex agreements, analyze usage and spend data, identify optimization opportunities, and build business cases that deliver measurable value.
  • Proven ability to influence senior stakeholders and drive enterprise initiatives in a highly matrixed environment, partnering effectively across business, technology, finance, sourcing, and legal teams.
  • Experience establishing operating models, governance frameworks, reporting, and decision-making processes for enterprise data, technology, or market data programs.
  • Excellent communication and presentation skills, with the ability to develop executive-level materials and present recommendations to senior leadership.
  • Bachelor's degree required.
  • Collaborative, intellectually curious, commercially minded, and execution-oriented, with a commitment to excellence and continuous improvement.

PREFERRED QUALIFICATIONS

  • Experience at a financial institution with $100B+ in AUM, or at a Tier 1 market data vendor in a strategic, product, or senior client-facing capacity.
  • Familiarity with alternative asset management workflows, including private equity, credit, real assets, and insurance investment operations.
  • Hands-on experience implementing or administering market data management tools (Calero, TRG Screen, MDSL, or equivalent) including data model design, inventory configuration, and reporting.
  • Knowledge of market data regulatory and compliance requirements, including exchange audit processes, redistribution rules, and licensing restrictions.
  • Experience with cost allocation methodologies for enterprise data and market data spend, and with enterprise budgeting and forecasting in a financial services context.
  • MBA or advanced degree in a relevant discipline.

PREFERRED PROFILE

The ideal candidate is a market data expert who understands the market data ecosystem strategically-not just operationally. They have deep knowledge of market data products, vendors, licensing models, and consumption patterns across financial services, and a proven ability to identify opportunities to optimize costs, improve transparency, and maximize business value. They may come from a market data strategy, product, operations, or vendor management role at a leading financial institution or provider such as Bloomberg, LSEG, FactSet, S&P Global, MSCI, or ICE. Candidates from consulting backgrounds with significant market data advisory experience and a track record of driving enterprise transformation are also well suited.

In their first year, the successful candidate will establish a comprehensive view of KKR's market data landscape, implement the foundational capabilities needed to manage vendors, contracts, entitlements, and spend at an enterprise level, and deliver measurable optimization opportunities and business value. They will become a trusted advisor to business leaders and the central driver of KKR's market data strategy. Success in this role requires strong judgment, ownership, and execution, combined with the ability to operate independently and influence across a complex organization.