Consumer Data Lead Job at The New York Times (New York)

Lead Data Engineer

Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader i...

Location

India , Gurugram

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

Bachelor’s or master’s degree in computer science, Engineering, or related field
7-9 years of data engineering experience with strong hands-on delivery using ADF, SQL, Python, Databricks, and Spark
Experience designing data pipelines, warehouse models, and processing frameworks using Snowflake or Azure Synapse
Proficient with CI/CD tools (Azure DevOps, GitHub) and observability practices
Solid grasp of data governance, metadata tagging, and role-based access control
Proven ability to mentor and grow engineers in a matrixed or global environment
Strong verbal and written communication skills, with the ability to operate cross-functionally
Certifications in Azure, Databricks, or Snowflake are a plus
Strong Knowledge of Data Engineering concepts (Data pipelines creation, Data Warehousing, Data Marts/Cubes, Data Reconciliation and Audit, Data Management)
Working Knowledge of Dev-Ops processes (CI/CD), Git/Jenkins version control tool, Master Data Management (MDM) and Data Quality tools

Job Responsibility

Design, develop, and maintain scalable pipelines across ADF, Databricks, Snowflake, and related platforms
Lead the technical execution of non-domain specific initiatives (e.g. reusable dimensions, TLOG standardization, enablement pipelines)
Architect data models and re-usable layers consumed by multiple downstream pods
Guide platform-wide patterns like parameterization, CI/CD pipelines, pipeline recovery, and auditability frameworks
Mentoring and coaching team
Partner with product and platform leaders to ensure engineering consistency and delivery excellence
Act as an L3 escalation point for operational data issues impacting foundational pipelines
Own engineering best practices, sprint planning, and quality across the Enablement pod
Contribute to platform discussions and architectural decisions across regions

Fulltime

Lead Data Engineer

Lead Data Engineer to serve as both a technical leader and people coach for our ...

Location

India , Gurugram

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

Bachelor’s or master’s degree in computer science, Engineering, or related field
8-10 years of data engineering experience with strong hands-on delivery using ADF, SQL, Python, Databricks, and Spark
Experience designing data pipelines, warehouse models, and processing frameworks using Snowflake or Azure Synapse
Proficient with CI/CD tools (Azure DevOps, GitHub) and observability practices
Solid grasp of data governance, metadata tagging, and role-based access control
Proven ability to mentor and grow engineers in a matrixed or global environment
Strong verbal and written communication skills, with the ability to operate cross-functionally
Strong Knowledge of Data Engineering concepts (Data pipelines creation, Data Warehousing, Data Marts/Cubes, Data Reconciliation and Audit, Data Management)
Working Knowledge of Dev-Ops processes (CI/CD), Git/Jenkins version control tool, Master Data Management (MDM) and Data Quality tools
Strong Experience in ETL/ELT development, QA and operation/support process (RCA of production issues, Code/Data Fix Strategy, Monitoring and maintenance)

Job Responsibility

Design, develop, and maintain scalable pipelines across ADF, Databricks, Snowflake, and related platforms
Lead the technical execution of non-domain specific initiatives (e.g. reusable dimensions, TLOG standardization, enablement pipelines)
Architect data models and re-usable layers consumed by multiple downstream pods
Guide platform-wide patterns like parameterization, CI/CD pipelines, pipeline recovery, and auditability frameworks
Mentoring and coaching team
Partner with product and platform leaders to ensure engineering consistency and delivery excellence
Act as an L3 escalation point for operational data issues impacting foundational pipelines
Own engineering best practices, sprint planning, and quality across the Enablement pod
Contribute to platform discussions and architectural decisions across regions

Fulltime

Data and Credit Bureau Attributes Specialist Consumer Credit Risk

The Data & Credit Bureau Attributes Specialist (AVP) - Consumer Credit Risk is r...

Location

India , Mumbai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Bachelor's degree in a relevant field (e.g., finance, risk management, information technology)
Experience in designing and implementing data governance frameworks that align with regulatory standards
Experience with data controls, summarization, and transformation in a credit risk context
Experience with modern data integration tools, cloud platforms, and emerging AI technologies
Experience in SAS, SAS/Stat, SQL
Strong financial management skills with experience managing large-scale data projects

Job Responsibility

Develop and enforce a governance framework that ensures the accuracy, security, and quality of data throughout its lifecycle
Oversee the transformation of raw and disparate data sets into actionable insights that support strategic and tactical decision-making within credit risk frameworks
Lead the end-to-end delivery process for building, testing, and deploying data pipelines
Ensure that all data driving regulatory reporting is accurate, timely, and adheres to compliance standards
Engage with senior stakeholders across Risk, IT, Compliance, and Business units
Lead innovation efforts that enhance the automation, scalability, and efficiency of data integration and controls

Fulltime

Consumer Insights Manager

Are you passionate about turning data into action? We’re seeking a Manager, Cons...

Location

United States , Chicago

Salary:

70696.34 - 124230.14 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in Business, Marketing, Sociology, Psychology, or related field
Eight (8) plus years of experience in consumer marketing research, with direct experience in research study design and analysis
Client-side research experience
Proficiency in a wide range of research methodologies, including qualitative interviews and quantitative studies
Strong knowledge of quantitative research methods and statistical analyses including survey design, sampling, crosstab analysis, regression, discrete choice, factor analysis, and multivariate weighting
Full ownership of research projects, strong project management skills, and the ability to manage multiple priorities in a fast-paced environment
Exceptional communication and presentation skills, with the ability to influence, advocate, and lead discussions on complex or controversial findings
A strategic thinker with strong business acumen, analytic and problem-solving skills, and creativity to translate insights into action

Job Responsibility

Serve as the primary Consumer Insights contact for one of our 5 universities, managing research plans and vendor partnerships
Lead complex projects, including consumer and market segmentation, ad testing, brand health tracking, NPS studies, and consumer journey work
Synthesize primary and secondary research to provide actionable recommendations that influence strategic business decisions
Present findings to stakeholders at all levels—from junior team members to executives
Oversee multiple projects from start to finish, ensuring research efforts meet objectives and remain within budget
Contribute to cross-functional task forces, bringing the consumer perspective to marketing initiatives and product strategies

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays
annual incentive program

Fulltime

Liquidity Management Lead Analyst

The Liquidity Data Governance Lead Analyst is an enthusiastic professional suppo...

Location

United States , Tampa

Salary:

103920.00 - 155880.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

6-10 years of relevant experience in banking or financial services, with preference for demonstrable experience in data governance, operational risk and controls
good understanding of data governance principles, data quality management, and data lineage
excellent communication, collaboration, and problem-solving skills
familiarity with data modelling, data architecture, and database concepts is a plus
familiarity with data management tools (e.g., Collibra) and technologies is a plus
knowledge of relevant regulations and industry standards (e.g., BCBS 239) is a plus
proficiency in SQL, data analysis tools (e.g., Python, R) and data visualization tools (e.g., Tableau, Power BI) is a plus
highly proactive and results-oriented with a strong bias for action and innovation
curiosity to learn new data management concepts, technologies, and methodologies
demonstrated commitment to operational excellence and process improvement

Job Responsibility

help create and maintain an enterprise data catalogue with the required metadata, data domain mapping, and lineage to ensure data assets are well-documented and easily discoverable
support the Data Manager in documenting and fulfilling Data Consumer requirements for accuracy, completeness, and timeliness of critical data elements
support the execution of data quality and governance activities, including assisting in the resolution of Data Exceptions and remediation of Data Concerns
support the Data Manager and Technology Owner in designing controls to mitigate key data-related risks
ensure that data management activities comply with the Enterprise Risk Management Framework, Operational Risk Management Policy, and other relevant policies and standards
assist in the production of metrics and key performance indicators for the Liquidity Data Domain and help present them to relevant governance bodies

What we offer

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages, including vacation, sick leave, and paid holidays

Fulltime

Head of Technology, Intelligence Ventures

The Head of Technology serves as the chief technology officer of a new behaviora...

Location

United States , New York

Salary:

263200.00 - 393800.00 USD / Year

Spectrum

Expiration Date

Until further notice

Requirements

Deep expertise across the full intelligence platform stack — including distributed data pipelines, ML platform architecture, embedding systems, feature stores, agent-to-agent API design, and LLM-powered application layers — with demonstrated ability to architect and ship all layers as a coherent, production-grade product
Demonstrated experience architecting and operating consumer data intelligence or data product platforms underpinned by complex machine learning systems and built on modern, cloud-native data infrastructure
Hands-on proficiency with Snowflake (including Cortex, Native Apps, and data sharing frameworks), cloud data platforms (AWS, Azure, or GCP), and production ML/AI systems at scale
Experience building agentic AI systems and LLM-powered product interfaces — including agent-to-agent APIs, retrieval-augmented generation architectures, and natural language UIs grounded in proprietary data — with strong product instincts around accuracy, trust, and user experience for non-technical enterprise audiences
Proven ability to translate complex technical architecture into clear executive and partner-facing communications
comfortable engaging at the C-suite level and in strategic partner negotiations with hyperscalers and technology platforms
Strong understanding of privacy-preserving data architecture, including differential privacy, de-identification techniques, zero-copy and clean room frameworks, and the regulatory landscape governing consumer behavioral data
Track record of recruiting and developing exceptional engineering talent in competitive markets
experience building high-performance teams from early-stage through scaled operations
Experience managing external development partners and outsourced engineering resources alongside an internal team in a fast-moving, build-from-scratch environment

Job Responsibility

Own the end-to-end technical architecture of the platform — from large-scale network signal ingestion and processing through behavioral embedding generation, feature store construction, and zero-copy intelligence delivery to enterprise partners — ensuring the platform is production-grade, built for household-scale throughput, and designed for long-term extensibility across new signal sources and use cases
Lead the build of the platform’s cloud-native data and application infrastructure — including ingestion and transformation pipelines, ML/AI compute environments, zero-copy partner access frameworks, and a real-time agent-to-agent API layer that enables external AI systems (marketing agents, commerce agents, customer service agents) to query household-level intelligence and receive contextually grounded responses
Serve as the technical lead in strategic partner integrations with cloud, data, and AI platform providers, ensuring each integration is architecturally differentiated and aligned with the platform’s cloud-agnostic, API-first design principles
Architect and deliver a business-facing agentic intelligence interface — a natural language UI that allows non-technical marketers, planners, and business users to query household behavioral intelligence, surface demand signals, and take action without requiring data or engineering support
Build and manage a world-class engineering organization capable of competing for talent with the leading technology and data infrastructure companies

Fulltime

Lead Data Scientist - Clinical Informatics (Clinical Data Standards)

We’re building a world of health around every individual — shaping a more connec...

Location

United States , New York

Salary:

130295.00 - 260590.00 USD / Year

CVS Health

Expiration Date

June 29, 2026

Requirements

7+ years of relevant experience in clinical informatics, healthcare analytics, or clinical data management
Deep expertise in clinical data types and structures, including CCD data, lab results, clinical notes, and administrative healthcare data
Strong knowledge of clinical coding systems and terminologies, such as ICD-10, CPT, HCPCS, SNOMED-CT, LOINC, NDC, and RxNorm
Experience designing and documenting data models, taxonomies, or classification frameworks for clinical or healthcare data
Proven ability to enable and support downstream data consumers (analysts, data scientists, business users) through documentation, training, and consultative support
Experience leading cross-functional projects from concept to delivery by coordinating across clinical, technical, and business stakeholders
Proficiency with SQL and experience working with large-scale healthcare datasets
Experience using cloud-based data platforms, preferably Google Cloud Platform (GCP) tools including BigQuery, for querying, transforming, and managing data
Strong understanding of data quality principles, including validation, profiling, and monitoring of healthcare data
Excellent written and verbal communication skills, including the ability to explain complex clinical data concepts to both technical and non-technical audiences

Job Responsibility

Serve as a subject matter expert in clinical data, including CCD data, with deep understanding of how to structure and apply this data to solve healthcare problems
Design and maintain clinical data models, taxonomies, and classification frameworks that enable consistent interpretation and use of clinical data across the organization
Develop and govern the clinical data feature store, establishing standards, documentation, and best practices that accelerate adoption of clinical data for downstream analytics, reporting, and AI/ML use cases
Enable self-service analytics by building well-documented, validated, and reusable data assets (tables, views, features) that empower analysts and data scientists to work independently with clinical data
Create and maintain comprehensive data documentation, including data dictionaries, lineage, business logic, known limitations, and appropriate use guidelines for clinical datasets
Build queries, dashboards, and data visualizations to effectively communicate data quality metrics, data availability, and clinical insights to technical and non-technical stakeholders
Partner with clinical, operational, and business stakeholders to understand their data needs, translate requirements into data solutions, and ensure clinical data assets meet their analytical objectives
Lead and mentor data scientists, data analysts, and data engineers, providing guidance on clinical data interpretation, appropriate use, and best practices for working with healthcare data
Establish data quality frameworks for clinical data, including validation rules, anomaly detection, and monitoring processes to ensure data integrity and reliability
Translate clinical concepts into analytical frameworks, ensuring that business partners understand the capabilities and limitations of available clinical data

What we offer

Medical, dental, and vision coverage
Paid time off
Retirement savings options
Wellness programs
CVS Health bonus, commission or short-term incentive program
Award target in the company’s equity award program

Fulltime

Data Governance Lead

Data is our entire value proposition—join us to build out the governance structu...

Location

Ireland , Dublin

Salary:

Not provided

Supermetrics

Expiration Date

Until further notice

Requirements

6+ years in data roles, with demonstrable experience designing or implementing data governance frameworks in a cloud-native environment
Proven hands-on experience with data cataloguing and metadata management tools (Open Metadata, Collibra, Alation, DataHub, or equivalent)
Solid working knowledge of GDPR and data compliance obligations in a SaaS or technology company context
Familiarity with modern data stack components: cloud data warehousing (BigQuery preferred), data transformation (dbt), and pipeline orchestration
Excellent stakeholder management and communication skills — equally comfortable engaging with engineering teams and senior business leaders
Structured, process-oriented approach — able to translate governance principles into practical, enforceable operational standards

Job Responsibility

Design and own Supermetrics’ data governance framework — defining the standards, policies, and practices that govern how data is created, classified, and maintained across the business
Lead the implementation and ongoing operation of our data catalogue (Open Metadata), ensuring every business-critical data asset is documented and discoverable
Establish and manage a data stewardship programme — partnering with business domain leads to define data ownership and accountability
Define data quality standards and SLA’s, working with data owners to improve the overall quality of data consumed, integrated and presented to the wider business
Contribute to our AI governance agenda — ensuring that AI workflows and models built on our data are grounded in governed, auditable, and well-documented foundations
Framework Design: Defining the policies and standards for data creation, classification, and maintenance across the business
Catalog Management: Leading the evolution of our data catalogue (Open Metadata) to ensure assets are documented and well-understood
Data Stewardship: Partnering with business domain leads to define data ownership and ensuring those accountabilities are actively maintained
Quality & SLAs: Working hands-on with the Data Platform team to instrument automated quality monitoring across our pipelines (BigQuery, dbt, Elementary)
Compliance Partnership: Partnering with Legal (GDPR) and IT (SOC2) to ensure data handling, retention, and access policies are compliant and audit-ready

What we offer

Competitive compensation package, including equity
Great work equipment
Health care benefit and leisure time insurance
Annual 1000 euros of personal learning budget
Sports and wellbeing allowance

Fulltime

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Consumer Data Lead

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