Job Description
Job Title: Vice President Operations Analytics
Department: Executive Office / Operations Strategy & Analytics
Reporting to: Chief Executive Officer / Chief Operating Officer
Location: Los Angeles, California / Hybrid Office
Company Introduction
TokenShares AI™ is a fintech-driven financial technology company focused on building intelligent infrastructure and analytics solutions for modern capital markets. Headquartered in Los Angeles with a growing global footprint, TokenShares AI™ operates at the intersection of financial technology, artificial intelligence, and data-driven investment intelligence.
By combining advanced analytics, machine learning, and financial market expertise, TokenShares AI™ develops technology platforms and analytical frameworks that enable institutions, market participants, and fintech ecosystems to make faster, more informed, and more transparent financial decisions.
The company’s solutions support a wide range of financial market applications, including digital asset analytics, trading infrastructure intelligence, operational performance monitoring, and AI-driven decision support for financial institutions and market operators.
As financial markets become increasingly data-intensive and technologically complex, TokenShares AI™ is committed to delivering intelligent operational insights that improve efficiency, strengthen risk awareness, and enhance strategic decision-making across financial ecosystems.
As part of its strategic expansion in the United States and global markets, TokenShares AI™ is strengthening its Los Angeles headquarters as a central hub for operational intelligence, analytics leadership, and technology-driven financial market innovation.
TokenShares AI™ envisions a future where artificial intelligence, financial data, and operational insight converge to power more efficient, transparent, and resilient financial markets.
Job Overview
The Vice President, Operations Analytics will serve as a senior executive leader responsible for building and leading TokenShares AI™’s operational analytics strategy, data intelligence capabilities, and performance optimization initiatives.
Reporting directly to the CEO and COO, this role will oversee the development of analytical frameworks, operational performance monitoring systems, and AI-enabled insights that support strategic decision-making across the organization.
The VP of Operations Analytics will play a critical role in transforming operational data into actionable intelligence, improving organizational efficiency, strengthening risk awareness, and enabling scalable growth across the company’s fintech platforms and financial market initiatives.
The ideal candidate brings deep experience in financial markets, fintech operations, data analytics, or quantitative analysis, with a proven ability to translate complex datasets into strategic insights that drive measurable operational and business impact.
Key Responsibilities
Operations Analytics Leadership & Strategic Insight
Lead and oversee TokenShares AI™’s global operations analytics strategy, ensuring alignment with corporate objectives, technology development, and growth initiatives.
Develop enterprise-level operational intelligence frameworks that provide real-time visibility into performance, efficiency, and risk metrics.
Transform operational data into strategic insights that support executive decision-making.
Establish analytics standards, methodologies, and governance frameworks across the organization.
Operational Performance & Efficiency Optimization
Design and implement performance monitoring systems that track operational efficiency across platforms, products, and internal functions.
Identify operational bottlenecks, inefficiencies, and improvement opportunities through advanced analytics.
Collaborate with leadership teams to optimize processes, workflows, and operational infrastructure.
Support scalability initiatives that enable the company to expand technology platforms and services efficiently.
Data Intelligence & Analytical Infrastructure
Build and manage analytics platforms, dashboards, and reporting frameworks that support operational and financial performance analysis.
Leverage AI, machine learning, and advanced statistical methods to enhance operational forecasting and predictive insights.
Ensure data integrity, accessibility, and consistency across operational data environments.
Work closely with engineering and technology teams to integrate analytics into internal platforms and decision-support systems.
Strategic Planning & Business Intelligence
Support executive leadership with strategic insights derived from operational data and market intelligence.
Develop analytical models that inform resource allocation, operational planning
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