Director of Data & Insights

Job Description

Who We Are

Derivative Path empowers institutions across the capital markets with innovative, AI‑driven technology and expert advisory solutions. Our award‑winning cloud platform supports banks, credit unions, private equity firms, hedge funds, asset managers, and insurance companies in managing interest rate, FX, and commodity risks, optimizing hedging strategies, and streamlining cross‑border payments. With a client base spanning over 250 financial institutions and leading private equity firms, we deliver scalable solutions that enhance risk management and drive operational performance. Through strategic partnerships with Goldman Sachs, Wells Fargo, FNBO, Q2, and Jack Henry, we provide best‑in‑class capabilities to help clients achieve their financial objectives in an ever‑evolving market.

With a team of seasoned professionals comprised of decades of industry experience, Derivative Path offers a flexible, hybrid work environment to its 125+ employees with the ability to work remotely and from one of four offices in San Francisco, New York, Chicago, and Manila. The Company is dedicated to building a diverse environment and has an unwavering commitment to creating a sense of belonging for all employees.

The Opportunity

Are you passionate about transforming data into intelligence — and intelligence into action? At Derivative Path, we’re reshaping how financial institutions leverage data and technology to make smarter, faster, and more confident decisions.

We’re seeking a Director of Data & Insights to lead this next chapter, with a focus on scaling our SaaS data capabilities and building intelligent, interconnected systems that move seamlessly between internal platforms and client environments.

What You Will Do

As Director of Data & Insights, you’ll own the vision, architecture, and strategy behind how data powers our products and decisions. You’ll lead a multidisciplinary team of analysts, engineers, and data scientists in designing systems that are accurate, scalable, and value‑driven.

You’ll go beyond static reporting to architect data flows that connect our SaaS platform with external partners and client systems — ensuring that data in and out of our ecosystem is secure, reliable, and insightful.

Key Responsibilities

• Define and execute the company’s data and AI strategy, aligning architecture, analytics, and governance with business and customer goals.


• Build and scale SaaS data pipelines that enable seamless data exchange between client systems, partners, and internal platforms.


• Lead the development of data ingestion, transformation, and distribution frameworks that support real‑time decision‑making and reporting.


• Partner with product and engineering to design data‑driven features that enhance customer experience, insight, and automation.


• Ensure data interoperability through well‑designed APIs, ETL pipelines, and secure data exchange protocols.


• Oversee data quality, governance, and compliance across distributed environments.


• Foster collaboration between technical and non‑technical teams to ensure data informs action, not just analysis.


• Promote ethical AI and responsible data usage throughout the organization.

Essential Qualifications

• 10+ years of experience in data, analytics, or platform engineering, including 3+ years in leadership roles.


• Proven experience building and managing SaaS data ecosystems, including client‑facing data integrations and APIs.


• Strong understanding of data ingestion, synchronization, and distribution patterns (REST APIs, webhooks, streaming, etc.).


• Deep knowledge of cloud‑native data architecture (Azure, AWS, or GCP).


• Proficiency in SQL, Python, and modern ETL/ELT frameworks.


• Experience with data warehouses (Snowflake, Redshift, BigQuery) and data lake concepts.


• Strong understanding of machine learning, predictive analytics, or AI‑powered insights.


• Excellent communication and storytelling skills; able to translate complex insights into business language.


• Bachelor’s or Master’s degree in a quantitative or technical field, or equivalent experience.

Location

• Canada

Benefits

• Competitive bonus, base salary, and equity compensation


• 23 days of PTO


• Fully remote


• RRSP contribution at 3%


• Competitive health benefits

The expectedsalary for this position is $140K to $180K CAD and is eligible for a discretionary bonus and equity. We will consider your skills, experience, and location when determining your pay.

Derivative Path is an equal opportunity employer and does not discriminate based on any of the following: race, religious creed, color, age, sex, sexual orientation, gender identity, gender expression or gender characteristic, national origin, religion, marital status, medical condition, physical or mental disability, military service or veteran status, pregnancy, childbirth and related medical conditions, or any other classification protected by federal, state, and local laws and ordinances. Derivative Path offers a comprehensive benefits package, including health, dental, vision, retirement plan, contribution, and a generous paid time off policy.