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Assistant Data Strategy Jobs in New York (NOW HIRING)

Head of Data Strategy

Manhattan, NY ยท On-site

$200K - $250K/yr

The role will also jointly own the strategic data partnership agenda; working with our business ... Learning and development tools to assist with your career development * Work with industry leading ...

... * Assist and support the creation of data and audience strategy for retention, acquisition ... prospecting, and opportunistic white space(s). * Assist and support the creation of audience ...

Assistant Director, Data Analytics Reporting to the Senior Director, Data Analytics, the Assistant Director, Data Analytics works within the Data Strategy department to develop and deliver data ...

Data Analyst

New York, NY ยท On-site

$95K - $125K/yr

Director of Data Strategy and Reporting DEPARTMENT: IT HOURS: 40 Hours FLSA STATUS: Exempt SALARY ... IT and Business teams. * Assist in developing an integrated data warehouse to provide a ...

Data Analyst

New York, NY ยท On-site

$100K - $140K/yr

Director of Data Strategy and Reporting DEPARTMENT: IT HOURS: 40 Hours FLSA STATUS: Exempt SALARY ... IT and Business teams. * Assist in developing an integrated data warehouse to provide a ...

Data Analyst

New York, NY

$100K - $140K/yr

Director of Data Strategy and Reporting DEPARTMENT: IT HOURS: 40 Hours FLSA STATUS: Exempt SALARY ... IT and Business teams. * Assist in developing an integrated data warehouse to provide a ...

New

Data Analyst

New York, NY ยท On-site

$100K - $140K/yr

Director of Data Strategy and Reporting DEPARTMENT: IT HOURS: 40 Hours FLSA STATUS: Exempt SALARY ... IT and Business teams. * Assist in developing an integrated data warehouse to provide a ...

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Assistant Data Strategy information

What does an Assistant Data Strategy do?

An Assistant Data Strategy professional supports the development and execution of data-driven strategies within an organization. Their responsibilities often include gathering and analyzing data, assisting with data management processes, and providing insights to inform business decisions. They work closely with data analysts, strategists, and other stakeholders to ensure effective use of data assets. This role typically involves using analytical tools, preparing reports, and helping to implement data governance policies.

What are the key skills and qualifications needed to thrive as an Assistant Data Strategy professional, and why are they important?

To thrive as an Assistant Data Strategy professional, you need strong analytical abilities, proficiency in data interpretation, and a relevant degree such as statistics, business, or computer science. Familiarity with data visualization tools (like Tableau or Power BI), spreadsheet software, and basic programming languages such as SQL or Python is often required. Excellent communication, attention to detail, and problem-solving skills help you collaborate with cross-functional teams and translate data insights into actionable strategies. These skills are crucial for delivering accurate, data-driven recommendations that support organizational goals and decision-making.

What are the typical responsibilities of an Assistant Data Strategy professional during a project lifecycle?

As an Assistant Data Strategy professional, you will typically be involved in gathering and organizing data requirements, supporting data analysis, and helping to develop actionable insights for business stakeholders. You may assist in documenting data processes, preparing reports, and collaborating closely with data analysts, engineers, and business units to ensure alignment with the overall data strategy. This role often requires strong communication skills, attention to detail, and the ability to adapt to shifting project priorities. You will gain valuable exposure to cross-functional teamwork and have opportunities to learn from senior data strategists, which can support career growth.

What is the difference between Assistant Data Strategy vs Data Analyst?

AspectAssistant Data StrategyData Analyst
Primary FocusSupporting data strategy development and implementationAnalyzing data to generate reports and insights
Skills & CertificationsKnowledge of data management, business strategy, and basic analytics toolsProficiency in data analysis, SQL, Excel, and visualization tools
Work EnvironmentCollaborates with data strategists, business teams, and ITWorks mainly with data sets, reporting tools, and stakeholders needing insights
Industry UsageCommon in organizations focusing on data-driven decision makingWidely used across industries for data reporting and analysis

The main difference is that an Assistant Data Strategy supports the development and execution of data strategies, focusing on planning and coordination. In contrast, a Data Analyst primarily analyzes data to produce reports and insights. Both roles require analytical skills, but their responsibilities and focus areas differ significantly.

What are the most commonly searched types of Data Strategy jobs in New York? The most popular types of Data Strategy jobs in New York are:
What are popular job titles related to Assistant Data Strategy jobs in New York? For Assistant Data Strategy jobs in New York, the most frequently searched job titles are:
What job categories do people searching Assistant Data Strategy jobs in New York look for? The top searched job categories for Assistant Data Strategy jobs in New York are:
What cities in New York are hiring for Assistant Data Strategy jobs? Cities in New York with the most Assistant Data Strategy job openings:
Infographic showing various Assistant Data Strategy job openings in New York as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, 1% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

Head of Data Strategy

Curinos Inc

Manhattan, NY โ€ข On-site

$200K - $250K/yr

Full-time

PTO

Posted 22 days ago


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. 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 our Curinos One 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 Curinosโ€™ data ecosystem, accelerate product innovation, strengthen Curinos One adoption, and create durable commercial advantage.

Responsibilities

  • Define and lead Curinosโ€™ enterprise data strategy, spanning acquisition and connection; aligning with business, product, AI, and platform product roadmaps and objectives
  • 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
  • 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.
  • 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, information security, and model risk management frameworks
  • Own data governance standards, metadata management, lineage tracking, and data quality 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 of experience in data strategy, data architecture, or enterprise data leadership roles
  • Strong technical expertise in 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 identifying, evaluating, negotiating, or scaling strategic data partnerships, preferably involving third-party financial, consumer, identity, payments, or open banking data assets
  • 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 โ€“ 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 pleaseโ€ฏcontact us at careers@curinos.com and weโ€™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.โ€ฏ As such, Curinosโ€ฏis proud to be an Equal Opportunity Employer.โ€ฏWe 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.