Head of Data Strategy

Job Description

Job Description

Curinos empowers financial institutions to put customers at the center of every decision. Our AI-first platform transforms proprietary data, advanced analytics and deep financial services expertise into timely recommendations - delivered right where teams work. The result: confident decisions, stronger customer relationships, and lasting, profitable growth.

Curinos operates under a hybrid modality and has office locations in New York, Chicago, Boston, Toronto, and London. This role is open to hybrid/ remote candidates based in the United States. 

Job Description

Curinos is looking for a skilled and technically strong Head of Data Strategy for our Curinos One Platform. Reporting to Curinos Chief Technology, Product & AI Officer, the role focuses on developing and implementing the path towards assembling a comprehensive view of bank customers across consumer, small business, and commercial banking while ensuring strong governance, privacy, and regulatory compliance across all data assets. This will involve combining data from 1st, 2nd, and 3rd party sources and effectively navigating identity management, to support AI-enabled, outcome-focused decision intelligence for banks through the platform. The role will also jointly own the strategic data partnership agenda; working with our business incubation team to identify and advance partner relationships that expand Curinos’ data ecosystem, accelerate product innovation, strengthen Curinos One adoption, and create durable commercial advantage.

Responsibilities

• Define and lead Curinos’ enterprise data strategy, spanning data acquisition, evaluation and connection; aligning with business, product, AI, and platform product roadmaps and objectives.
• Partner with Curinos business development and incubation resources to lead a portfolio of strategic data and platform partner opportunities, setting priorities, building executive-level engagement, and translating partner capabilities into product, AI, and commercial growth opportunities
• Remove friction from the growth of our data assets by leveraging awareness of data federation, zero-copy access through the latest data technologies such as Databricks, SnowFlake, BigQuery; Open Banking Data protocols and APIs; and key strategic partnerships
• Establish best practices for data ingestion, normalization, enrichment, and distribution across complex financial services ecosystems
• Develop strategic and economic business cases for data partnerships, including data quality, exclusivity, defensibility, integration complexity, regulatory fit, and long-term product applicability.
• Drive strategy for PII management, identity resolution, and data linkage across customer, internal and third-party datasets.
• Engage with customers and partners across banks, fintechs, credit bureaus, payment networks, and data providers to shape data acquisition and integration strategies.
• Ensure alignment with regulatory requirements including data privacy, infrmation security, and model risk management frameworks.
• Collaborate with security and compliance teams to ensure adherence to standards such as GLBA, CCPA, and emerging regulatory expectations.
• Serve as a thought leader internally and externally on data strategy trends within financial services.

Salary Range: $200,000- $250,000 USD (plus bonus)

Desired Skills & Expertise

• 10+ years’ experience identifying, evaluating, negotiating, or scaling strategic data partnerships, preferably involving third-party financial, consumer, identity, payments, or open banking data assets.
• 5+ years of experience in data strategy or enterprise data leadership roles.
• Current experience working with modern cloud data platforms (e.g., Databricks, BigQuery, Snowflake) and data engineering patterns.
• Deep understanding of the financial services data ecosystem, including banks, payment providers, connectivity platforms (e.g., Plaid), and data vendors.
• Experience working with sensitive financial data, including PII, and implementing identity resolution frameworks.
• Working knowledge of regulatory frameworks such as GLBA, CCPA, GDPR, and banking supervision expectations related to data and model risk.
• Familiarity with AI/ML data requirements, feature engineering, and model data pipelines.
• Strong leadership and stakeholder management skills across technical and business audiences.
• Experience working in a fast-paced, product-driven and AI-enabled organization preferred.

Why work at Curinos?

• Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose from
• Flexible working options, including home working, flexible hours and part time options, depending on the role requirements – please ask!
• Unlimited PTO policy, floating holidays, volunteering days and a day off for your birthday
• Learning and development tools to assist with your career development
• Work with industry leading Subject Matter Experts and specialist products
• Regular social events and networking opportunities
• Collaborative, supportive culture, including an active DE&I program
• Employee Assistance Program which provides expert third-party advice on wellbeing, relationships, legal and financial matters, as well as access to counselling services

Applying

We know that sometimes the 'perfect candidate' doesn't exist, and that people can be put off applying for a job if they don't meet all the requirements. If you're excited about working for us and have relevant skills or experience, please go ahead and apply. You could be just what we need! 

If you need any adjustments to support your application, such as information in alternative formats, special requirements to access our buildings or adjusted interview formats please contact us at View email address on us.fitly.work and we’ll do everything we can to help.

Inclusivity at Curinos

We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed.  As such, Curinos is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, color, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics.