Ceic Data Full Form Jobs in Usa

Surescripts serves the nation through simpler, trusted health intelligence sharing, in order to increase patient safety, lower costs and ensure quality care. We deliver insights at critical points of care for better decisions - from streamlining prior authorizations to delivering comprehensive medication histories to facilitating messages between providers.

The Strategic Data(RWD) Acquisition Manager will be an integral part of Surescripts' data ecosystem by executing negotiations with Surescripts Network Alliance partners to secure data usage rights, while also identifying and acquiring new, strategic data sources. This person will play a critical role in maintaining access to high quality data necessary for the development of solutions that will deliver value and improve the experience for stakeholders across the healthcare ecosystem. This position requires a deep understanding of healthcare data, the regulatory landscape and business development experience to successfully negotiate and secure data agreements that will enhance our product portfolio.

• Identify and evaluate potential data sources of interest that expand Surescripts' data portfolio. Create comprehensive value propositions for how the data could be used within Surescripts' solutions, and valuation of the data to make offers to data sources for data acquisition.
• Drive business development efforts to secure agreements that enhance Surescripts' data portfolio. With guidance from leadership, execute strategies to identify and approach potential data partners, and successfully negotiate terms.
• Collaborate with sales and product teams to develop strategies to align customer incentives with broader data-dependent initiatives. Interface with Surescripts Network Alliance partners to negotiate data usage rights, ensuring alignment with business goals and regulatory requirements.
• Interface with data providers, industry partners, and other stakeholders.
• Manage day-to-day data procurement-related inquiries and negotiations with data providers and customers.
• Maintain a thorough understanding of privacy laws, including HIPAA permitted purposes. Collaborate with compliance, privacy, security, and data governance teams to ensure all data procurement activities comply with all state and federal regulations, internal policies, and customer contracts.
• Monitor and report on data procurement activities. Track progress of data procurement efforts, report on key metrics, and provide regular updates to senior management. Proactively identify and address any challenges or obstacles in the procurement process. Monitor and evaluate the ROI of data acquisition initiatives to prioritize high-impact opportunities.
• Keep up-to-date with the latest developments in data rights, privacy regulations, and the healthcare industry. Apply and share this knowledge to improve data procurement strategies and ensure the company remains compliant and competitive.

Qualifications:

Basic Requirements:

• Bachelor's degree in Business, Economics, Data Science, or related field;
• 8+ years of experience in business development and/or related experience in the procurement/acquisition of healthcare data.
• Strong understanding of regulations around healthcare data, including Health Insurance Portability and Accountability Act (HIPAA) and Trusted Exchange Framework and Common Agreement (TEFCA).
• Ability to evaluate the value and quality of data assets and their applicability to business needs.
• Proven experience in negotiating contracts and managing vendor relationships.
• Demonstrated success in business development and deal negotiation.
• Excellent written and verbal communication and interpersonal skills.
• Ability to work independently and as part of a team.
• Ability to travel for team, customer and vendor meetings as needed.
• Strategic thinker with strong analytical and problem-solving abilities and results-driven mindset.

Preferred Qualifications:

• MBA or advanced degree preferred in a related field.
• Strong understanding of healthcare interoperability standards, such as Fast Healthcare Interoperability Resource (FHIR).
• Strong understanding of electronic health records (EHR), pharmacy and claims data, health information exchanges (HIE), and TEFCA qualified health information networks (QHINs)
• Familiarity with data governance tools (e.g. data mapping, lineage

#LI-remote

Surescripts embraces flexibility through its Flexible Hybrid Work model for most positions. This model allows employees to work virtually while still utilizing our offices as collaboration centers. With alignment and agreement from your leadership, you can come and go from the office as needed.

To be considered for employment, applicants must have a valid U.S. work authorization allowing work without restrictions with Surecripts in the U.S. At this time, we are unable to provide support or provide sponsorship for immigration benefits such as work visas. Additionally, we do not participate in academic training programs or work-study programs through an academic institution that require employer endorsement of F-1/CPT or F-1/STEM.

Why Wait? Apply Now

We're a midsize company. This means you're not just another employee ID number. Here, you can build real relationships and feel supported by truly awesome people with diverse backgrounds and talents in an innovative and collaborative work culture. We strive to create an environment where you can be yourself, share your ideas and work your way. We offer opportunities for employee development, as well as competitive compensation packages and extensive benefits.

Benefits include, but are not limited to, comprehensive healthcare (including infertility coverage), generous paid time off including paid childbirth and parental leave and mental health days, pet insurance, and 401(k) with company match and immediate vesting. To learn more, review the Keep You and Yours Healthy, Balancing Work and Life, and Where Talent Takes Shape links under the Better Benefits. Better Work. Better Life section of our careers site.

While performing duties of this job, an employee may be required to perform any, or all of the following: attend meetings in and out of the office, travel, communicate effectively (both orally and in writing), and be able to effectively use computers and other electronic and standard office equipment with, or without, a reasonable accommodation. Additionally, this job requires certain mental demands, including the ability to use judgement, withstand moderate amounts of stress and maintain attention to detail with, or without, a reasonable accommodation.

Surescripts is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate on the basis of race, color, religion, age, national origin, ancestry, disability, medical condition, marital status, pregnancy, genetic information, gender, sexual orientation, parental status, gender identity, gender expression, veteran status, or any other status protected under federal, state, or local law.

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

We are seeking a Staff Data Engineer to lead the design, implementation, and evolution of our identity services and data governance platform. This role is critical to ensuring trusted, privacy-safe, and well-governed data across the organization. You will work at the intersection of data engineering, identity resolution, privacy, and platform reliability.This is anindividual contributor role, where you will work to define and implement a strategic vision for data engineering within the organization.

What you'll do:

• 
  
• Identity Services:
  
  • 
    
  • Design and maintain a scalable identity resolution platform
    
  • Build pipelines and services to ingest, normalize, link, and version identity data across multiple sources
    
  • Ensure deterministic and probabilistic matching logic that is transparent, auditable, and measurable
    
  • Partner with product and analytics teams to expose identity data through reliable, well-documented APIs and datasets
    
  • Build and operate batch and streaming pipelines using modern data stack tools
    
  • Create clear documentation, standards, and runbooks for identity and governance systems
    
  
  
  
• Data Governance & Trust
  
  • 
    
  • Own data governance foundations including data lineage, quality checks, schema enforcement, and access controls
    
  • Implement privacy-by-design principles (PII handling, consent enforcement, retention policies)
    
  • Collaborate with legal, privacy, and security teams to operationalize regulatory requirements (e.g., GDPR, CCPA)
    
  • Establish monitoring and alerting for data quality, freshness, and integrity
    
  
  
  

What we're looking for:

• 
  
• Data engineering experience with proven track record building data infrastructure using Spark with Scala
  
• Proven experience building data infrastructure using Spark with Scala for at least 5 years
  
• Experience in delivering significant technical initiatives and building reliable, large scale services
  
• Experience in delivering APIs backed by relationship-heavy datasets
  
• Experience implementing data governance practices, including data quality, metadata management, and access controls
  
• Strong understanding of privacy-by-design principles and handling of sensitive or regulated data
  
• Familiarity with data lakes, cloud warehouses, and storage formats
  
• Strong proficiency in AWS services
  
• Successful design and implementation of scalable and efficient data infrastructure
  
• High attention to detail in implementation of automated data quality checks
  
• Effective collaboration with cross-functional teams
  
• Excellent written and verbal communication skills
  
• Bachelor's degree in Computer Science or a related field
  

In-Office Requirement Statement:

• 
  
• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit ourPinFlexpage to learn more about our working model.
  

#LI-SM4

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

• 
  
• Administer and operate Microsoft Purview Data Map and Data Catalog environments.
  
• Monitor platform health, scan execution, metadata ingestion, and lineage availability.
  
• Troubleshoot and resolve catalog, scan, and connectivity issues.
  
• Perform routine maintenance, configuration updates, and service optimizations.
  
• Coordinate incident resolution with internal engineering teams and Microsoft support as required.
  

• 
  
• Register, configure, and maintain data sources across Azure, M365, on?prem, and approved third?party platforms.
  
• Configure and schedule metadata scans for supported sources.
  
• Manage authentication for scans using managed identities, service principals, and Key Vault secrets.
  
• Monitor scan performance, failures, and coverage; take corrective action as needed.
  
• Optimize scan frequency and scope to balance cost, performance, and governance coverage.
  

• 
  
• Maintain and enforce enterprise metadata standards within the Purview Catalog.
  
• Manage business metadata, classifications, glossary terms, and custom attributes.
  
• Ensure metadata accuracy, completeness, and consistency across data assets.
  
• Support curation activities including asset certification and publishing.
  
• Resolve duplicate, incomplete, or stale catalog entries.
  

• 
  
• Enable and validate data lineage ingestion from supported data platforms.
  
• Monitor lineage completeness and visibility for critical data assets.
  
• Assist data consumers and stewards with lineage?based impact analysis.
  
• Escalate lineage gaps or tool limitations requiring architectural or engineering remediation.
  

• 
  
• Configure and manage Purview role?based access control (RBAC) within collections.
  
• Provision and maintain access for administrators, data curators, and data stewards.
  
• Enforce domain?based access controls and separation of duties.
  
• Integrate Purview access with Microsoft Entra ID.
  
• Support sensitivity labels and classification alignment with Microsoft Information Protection.
  

• 
  
• Support automated discovery of sensitive data (PII, PCI, PHI).
  
• Assist risk, audit, and compliance teams with catalog evidence and reporting.
  
• Validate scan coverage for regulated data domains.
  
• Support regulatory and audit initiatives (SOX, GLBA, NYDFS, GDPR, etc.).
  

• 
  
• Provide operational support to data producers, consumers, and data stewards.
  
• Respond to access requests, catalog issues, and usage questions.
  
• Maintain operational documentation, runbooks, and standard operating procedures.
  
• Support onboarding of new data domains following established governance patterns.
  
• Assist with training and adoption initiatives led by governance or architecture teams.
  

• 
  
• 5+ years experience supporting enterprise data platforms or governance tools and 4+ years hands?on MS Purview experience at enterprise scale.
  
• Hands?on experience administering Microsoft Purview Data Catalog.
  
• Strong understanding of metadata management, data classification, and lineage concepts.
  
• Working knowledge of Azure data services and enterprise data ecosystems.
  
• Experience managing access controls and identities using Microsoft Entra ID.
  
• Familiarity with regulated data environments and compliance requirements.
  
• Strong troubleshooting, operational support, and documentation skills.
  

• 
  
• Experience supporting Purview integrations with Synapse, Fabric, Databricks, Snowflake, or SQL Server.
  
• Exposure to financial services or other regulated industries.
  
• Experience with PowerShell, REST APIs, or basic automation for operational tasks.
  
• Prior experience supporting enterprise data governance or stewardship programs.
  

The Business Data Analyst will play a critical role in supporting data-driven decision-making for core PMA business functions. This position is focused on extracting valuable insights from complex datasets, creating operational reports, and developing intuitive BI dashboards tailored to business needs. Working within an enterprise reporting structure, the analyst will perform on-demand data discovery, conduct trend analysis, and develop analytics tools that empower stakeholders with meaningful insights. By ensuring data accuracy, quality and relevance, this role will support data governance activities and continuous process improvements that align with strategic objectives.

Responsibilities:

Data Analysis & Business Insights
* Conduct in-depth data analysis to support strategic business initiatives.
* Perform trend analysis and develop predictive insights to help business teams identify patterns, risks, and opportunities.
* Respond to data discovery requests and operational reports development to support key business metrics and decision-making.
* Deploy best practices and make recommendations for improved understanding.
* Translate complex data findings into actionable recommendations, presenting insights in a clear and meaningful way for non-technical stakeholders.
Enterprise Reporting & BI Dashboard Development
* Work closely with business stakeholders to understand their reporting needs, providing insights that drive data-informed decisions.
* Design, develop, and maintain interactive BI dashboards tailored to answering critical business questions, providing real-time access to critical metrics and performance insights.
* Utilize enterprise BI tools to create data visualizations that enable easy exploration of data and insights.
* Partner with stakeholders to test and refine dashboards, ensuring they align with business requirements and enhance decision-making capabilities.
* Facilitate training and support for business users on BI dashboards and reporting tools, enabling self-service access to data insights.
Data Quality Support & Validation
* Collaborate with data governance and data engineering teams to ensure high data quality and integrity in enterprise reports and dashboards.
* Perform data validation and verification as part of report development to ensure data accuracy, consistency, and relevance for business users.
* Monitor data accuracy metrics and support data issue resolution, maintaining a high standard of data quality across reporting tools.
* Demonstrate commitment to Company's Code of Business Conduct and Ethics, and apply knowledge of compliance policies and procedures, standards and laws applicable to job responsibilities in the performance of work.

* 3+ years of experience in data, analytics, or business intelligence.
* Bachelor's degree in Information Management, Data Science, Computer Science, Mathematics, Statistics, Economics, Psychology or a related field.
* Proficient in SQL for data extraction and manipulation across various data sources.
* Strong analytical skills to interpret complex datasets and draw actionable insights.
* Experience with BI platforms like QlikSense or Power BI for data visualization and dashboard development.
* Familiar with advanced Excel functions for data manipulation and reporting.
* Understanding of statistical methods and trend analysis for identifying patterns and creating projections.
* Familiar with predictive modeling or basic machine learning concepts is a plus.
* Proficiency with scripting languages or tools (such as Python, R, or VBA) for process automation is a plus.
* Basic understanding of data integration, ETL processes, and data warehousing concepts.
* Skilled in presenting data in a way that tells a compelling story and drives informed decision-making.
* Strong interpersonal skills to work effectively with cross-functional teams in underwriting, finance, and IT.
* High level of precision in data analysis, ensuring reports and insights are accurate and free of errors.
* Analytical mindset to investigate data challenges, identify root causes, and develop efficient solutions.
* Ability to adapt to evolving data requirements and troubleshoot issues with minimal supervision.
* Strong organizational skills to balance multiple projects and meet reporting deadlines.
* Effective time management to handle ad hoc requests and prioritize tasks in a fast-paced environment.
* Open and motivated to learn new tools, methods, and data practices.

Sr. Data Engineer (Hybrid)

Chicago, IL

The American Medical Association (AMA) is the nation's largest professional Association of physicians and a non-profit organization. We are a unifying voice and powerful ally for America's physicians, the patients they care for, and the promise of a healthier nation. To be part of the AMA is to be part of our Mission to promote the art and science of medicine and the betterment of public health.

At AMA, our mission to improve the health of the nation starts with our people. We foster an inclusive, people-first culture where every employee is empowered to perform at their best. Together, we advance meaningful change in health care and the communities we serve.

We encourage and support professional development for our employees, and we are dedicated to social responsibility. We invite you to learn more about us and we look forward to getting to know you.

We have an opportunity at our corporate offices in Chicago for a Sr. Data Engineer (Hybrid) on our Information Technology team. This is a hybrid position reporting into our Chicago, IL office, requiring 3 days a week in the office.

As a Sr. Data Engineer, you will play a key role in implementing
and maintaining AMA's enterprise data platform to support analytics,
interoperability, and responsible AI adoption. This role partners closely with
platform engineering, data governance, data science, IT security, and business
stakeholders to deliver highquality, reliable, and secure data products. This
role contributes to AMA's modern lakehouse architecture, optimizing data
operations, and embedding governance and quality standards into engineering
workflows. This role serves as a
senior technical contributor within the team-providing mentorship to junior
engineers and implementing engineering best practices within the data platform function,
in alignment with architectural direction set by leadership.

RESPONSIBILITIES:

Data Engineering & AI Enablement

• Build and maintain scalable data pipelines and
  ETL/ELT workflows supporting analytics, operational reporting, and AI/ML use
  cases.
• Implement best practice patterns for ingestion,
  transformation, modeling, and orchestration within a modern lakehouse
  environment (e.g., Databricks, Delta Lake, Azure Data Lake).
• Develop highperformance
  data models and curated datasets with strong attention to quality, usability,
  and interoperability; create reusable engineering components and automation.
• Collaborate with the Architecture Team, the Data
  Platform Lead, and federated IT teams to optimize storage, compute, and
  architectural patterns for performance and costefficiency.
• Build model-ready data sets and feature
  pipelines to support AI/ ML use cases; serve as a technical coordination point
  supporting business units' AI-related infrastructure needs.
• Collaborate with data scientists and AI Working
  Group to operationalize models responsibly and maintain ongoing monitoring
  signals.

Governance, Quality & Compliance

• Embed data governance, metadata standards,
  lineage tracking, and quality controls directly into engineering workflows;
  ensure technical implementation and alignment within engineering workflows.
• Work with the Data Governance Lead and business
  stakeholders to operationalize stewardship, classification, validation,
  retention, and access standards.
• Implement privacybydesign and securitybydesign
  principles, ensuring compliance with internal policies and regulatory
  obligations.
• Maintain documentation for pipelines, datasets,
  and transformations to support transparency and audit requirements.

Platform Reliability, Observability & Optimization

• Monitor and troubleshoot pipeline failures,
  performance bottlenecks, data anomalies, and platformlevel issues.
• Implement observability tooling, alerts,
  logging, and dashboards to ensure endtoend reliability.
• Support cost governance by optimizing compute
  resources, refining job schedules, and advising on efficient architecture.
• Collaborate with the Data Platform Lead on
  scaling, configuration management, CI/CD pipelines, and environment management.
• Collaborate with business units to understand
  data needs, translate them into engineering requirements, and deliver
  fit-for-purpose data solutions; share and apply best practices and emerging
  technologies within assigned initiatives.
• Work with IT Security and Legal/ Compliance to
  ensure platform and datasets meet risk and regulatory standards.
  

Staff Management

• Lead, mentor, and provide management oversight
  for staff.
• Responsible for setting objectives, evaluating
  employee performance, and fostering a collaborative team environment.
• Responsible for developing staff knowledge and
  skills to support career development.

May include other responsibilities as assigned

REQUIREMENTS:

1. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field preferred or equivalent work experience and HS diploma/equivalent education required.
2. 5+ years of experience in data engineering within cloud environments
3. Experience in people management preferred.
4. Demonstrated hands-on experience with modern data platforms (Databricks preferred).
5. Proficiency in Python, SQL, and data
   transformation frameworks.
6. Experience designing and operationalizing
   ETL/ELT pipelines, orchestration workflows (Airflow, Databricks Workflows), and
   CI/CD processes.
7. Solid understanding of data modeling,
   structured/unstructured data patterns, and schema design.
8. Experience implementing governance and quality
   controls: metadata, lineage, validation, stewardship workflows.
9. Working knowledge of cloud architecture, IAM,
   networking, and security best practices.
10. Demonstrated ability to collaborate across
    technical and business teams.
11. Exposure to AI/ML engineering concepts, feature
    stores, model monitoring, or MLOps patterns.
12. Experience with infrastructureascode
    (Terraform, CloudFormation) or DevOps tooling.

The American Medical Association is located at 330 N. Wabash Avenue, Chicago, IL 60611 and is convenient to all public transportation in Chicago.

This role is an exempt position, and the salary range for this position is $115,523.42-$150,972.44. This is the lowest to highest salary we believe we would pay for this role at the time of this posting. An employee's pay within the salary range will be determined by a variety of factors including but not limited to business consideration and geographical location, as well as candidate qualifications, such as skills, education, and experience. Employees are also eligible to participate in an incentive plan. To learn more about the American Medical Association's benefits offerings, please click here.

We are an equal opportunity employer, committed to diversity in our workforce. All qualified applicants will receive consideration for employment. As an EOE/AA employer, the American Medical Association will not discriminate in its employment practices due to an applicant's race, color, religion, sex, age, national origin, sexual orientation, gender identity and veteran or disability status.

THE AMA IS COMMITTED TO IMPROVING THE HEALTH OF THE NATION

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

As a Senior Data Engineer at tvScientific, you will be a key player in implementing the robust data infrastructure to power our data-heavy company. You will collaborate with our cross-functional teams to evolve our core data pipelines, design for efficiency as we scale, and store data in optimal engines and formats. This is an individual contributor role, where you will work to define and implement a strategic vision for data engineering within the organization.

What you'll do:

• 
  
• Implement robust data infrastructure in AWS, using Spark with Scala
  
• Evolve our core data pipelines to efficiently scale for our massive growth
  
• Store data in optimal engines and formats
  
• Collaborate with our cross-functional teams to design data solutions that meet business needs
  
• Built out fault-tolerant batch and streaming pipelines
  
• Leverage and optimize AWS resources while designing for scale
  
• Collaborate closely with our Data Science and Product teams
  
• How we'll define success:
  
  • 
    
  • Successful implementation of scalable and efficient data infrastructure
    
  • Timely delivery and optimization of data assets and APIs
    
  • High attention to detail in implementation of automated data quality checks
    
  • Effective collaboration with cross-functional teams
    
  
  
  

What we're looking for:

• 
  
• Production data engineering experience
  
• Proficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala
  
• Familiarity with data lakes, cloud warehouses, and storage formats
  
• Strong proficiency in AWS services
  
• Expertise in SQL for data manipulation and extraction
  
• Excellent written and verbal communication skills
  
• Bachelor's degree in Computer Science or a related field
  
• Nice-to-Haves
  
  • 
    
  • Experience in adtech
    
  • Experience implementing data governance practices, including data quality, metadata management, and access controls
    
  • Strong understanding of privacy-by-design principles and handling of sensitive or regulated data
    
  • Familiarity with data table formats like Apache Iceberg, Delta
    
  
  
  

In-Office Requirement Statement:

• 
  
• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit ourPinFlexpage to learn more about our working model.
  

#LI-SM4

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

• 
  
• Set the technical strategy for data engineering solutions and data architecture which includes end to end data pipeline strategy, consumption management, project scoping, and data automation.
  
• Design, develop, and optimize data engineering solutions using Snowflake, DBT, Azure Data Factory, and Alteryx.
  
• Continuously assess and optimize the data engineering technology stack to ensure scalability, performance, and alignment with industry best practices.
  
• Implement best practices for data modeling, ETL/ELT processes, and automation.
  
• Own and maintain the Snowflake data warehouse roadmap and engineering standards.
  
• Lead data project scoping, prioritization, and resource allocation to ensure timely delivery of data engineering solutions.
  
• Ensure data integrity, security, and compliance across all engineering solutions.
  
• Collaborate with IT and rest of data teams to align solutions with enterprise
  
• Establish documentation and governance standards for data engineering workflows ensuring completeness, audit readiness, and traceability in alignment with enterprise architecture.
  
• Directly supervise the Data Architecture & Data Engineering team in accordance with Nicolet's policies and applicable laws. Responsibilities include interviewing, hiring, and training employees; planning, assigning, and directing work; appraising performance; coaching, mentoring and development planning; rewarding and disciplining employees; addressing complaints and resolving problems.
  

• 
  
• Bachelor's degree in Computer Science, Data Engineering, Data Analytics or related field.
  
• 7+ years in data engineering or related data roles required.
  
• 3+ years in leadership or management positions required.
  
• Strong technical expertise in Snowflake, DBT, Azure Data Factory and SQL or like systems.
  
• Familiarity with Alteryx, UiPath, Tableau, Power BI and Salesforce is preferred.
  
• Ability to design and implement scalable data solutions.
  
• Excellent leadership, communication, and organizational skills
  
• Ability to balance hands-on development with team development.
  
• Must be able to work fully in-office. This position does not allow for remote work.
  

• 
  
• Medical, Dental, Vision, & Life Insurance
  
• 401(k) with a company match
  
• PT0 & 11 1/2 Paid Holidays
  

Title:Sr. Manager Data Governance

Location: Richardson, TX Hybrid

Duration: 6 months possibility of FTE conversion yes

JOB SUMMARY

This position incubates and establishes a leading-edge global Data Governance function to support business segments, corporate functions and the Digital & Technology stakeholders. The responsibility includes

• 
  
• Liaise directly with clients and account teams to provide strategic direction on implementation of data governance programs, best practices, adoption of standards, mast data management, and data quality improvement while leveraging leading-edge data governance tools and technology.
  
• Collaborate with and manage highly performing data governance and data management professionals that support occupier clients and account teams.
  
• Provide support on data strategy execution in the adoption of data products including enterprise data platform that provides game-changing analytics in the CRE industry.
  
• Serve as the data governance champion of strategic data products and supporting metadata and reference data.
  
• Implement and support data ownership and stewardship programs for stakeholders across the business to ensure that account teams adopt improved data governance and management practices.
  

ESSENTIAL DUTIES AND RESPONSIBILITIES

• 
  
• Participate in the strategy, planning, and execution for Enterprise Data Governance at, focusing on Building Operations & Experience (BOE) business segment. Ensure the company has urgency, sensitivity and thought leadership for competitive capabilities around data.
  
• Demonstrated leadership experience in a large, complex, global organization, including the ability to effectively work and communicate across organizational lines. Ensure business stakeholder understanding, alignment and commitment to the objectives of the data governance and management program(s). Be the champion and evangelist for data, the business value, and the potential innovations. Be the trusted advisor to senior leadership and peers.
  
• Demonstrated experience in building relationships and leading high-performing teams with top talents around the world. Build a high performance environment and execute a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment, communicating vision/ values/ business strategy and managing succession and development planning for the team.
  
• Collaborate with partners across business segments/ business lines, regions and accounts to develop consistent data governance capabilities at all levels, influencing decisions relating to policy, practices, supporting technology, and talent development.
  
• Establish leading data management practices and shared services relating to data quality, data provisioning, metadata, lineage, reference data, issue management and change management.
  
• Implement data governance as commodity services that could be leveraged by various clients in different industries. Understand clients' appetite and risk culture in day-to-day support activities and decision-making.
  
• Establish account team data governance programs. Define data domains and implement business oversight via essential data governance organizations and RACI (i.e. central data governance function, Data Ownership and Stewardship Program, etc.). Establish data standards, policies and controls. Design and implement the framework, including associated processes, necessary to sustain a data control environment. Monitoring compliance with data policies and standards
  
• Establish account team and cross-account data quality framework necessary to enable data quality reporting, issue identification, remediation and tracking, ultimately ensuring trust and confidence in data across domains.
  
• Guide the client accounts to adopt the strategic data products including existing account migrations and new account transitions. Manage data to support and its clients' business intelligence and scale appropriately with business growth.
  
• Experience in leading and driving leading-edge data innovation initiatives including big data, cloud computing, IoT, data virtualization and federation, etc., is a plus.
  
• Create and implement strategic approaches, plans, timelines, preparation of business cases to ensure expedited handling of client data protection, and other data compliance and security requirements.
  
• Develop and implement metrics needed to monitor/ report on data governance and data management progress
  
• Develop communication approaches and change management strategies; determines presentation focus and emphasis and prepares board-level presentations.
  
• Performs other duties as assigned.
  

SUPERVISORY RESPONSIBILITIES

Manages the planning, organization, and controls for a major functional area or department. Position will be responsible for managing direct reports across the Americas region and working with peers across all regions, requiring flexibility in schedule. May also be responsible for matrix reports. This position requires subordinates' recommendations for staff recruitment, selection, promotion, advancement, corrective action and termination. Effectively recommends same for direct reports to next level management for review and approval. Monitors appropriate staffing levels and reports on utilization and deployment of human resources. Leads and supports staff in areas of staffing, selection, training, development, coaching, mentoring, measuring, appraising, and rewarding performance and retention. Leads by example and models behaviors that are consistent with the company's values.

QUALIFICATIONS

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

EDUCATION and EXPERIENCE

Bachelor's degree (BA/BS) from four-year college or university and a minimum of eight years of related experience and/or training, including five years of experience at the management level.

• 
  
• 5 or more years of progressively responsible management positions in complex organizations required. Demonstrated success with high visibility projects, leaders in technology use and development, change management, budget and business case development and staff development.
  
• 5 or more years of related experience in related industry; commercial real estate management preferred.
  
• 7 or more years of data management related experience such as data analysis, data governance, enterprise information management, data modeling, and data quality management. analytics experience desired, i.e., data visualization, data analytics, data mining, business intelligence, etc.
  
• Candidates must have experience working in large organizations with geographically dispersed teams and complex technical environments.
  
• Experience in dealing with internal and external customers, service providers and vendors. Must be able to manage competing priorities. Needs to be resilient; resolving conflicts quickly to achieve desired business results.
  
  

• 
  
• Bachelor's degree in business administration, Information Management, MIS, Business Intelligence and Data Science, Library Science, Computer Science or related fields; advanced degree preferred.
  

CERTIFICATES and/or LICENSES

None

COMMUNICATION SKILLS

• 
  
• Ability to comprehend, analyze, and interpret the most complex business documents. Ability to respond effectively to the most sensitive issues. Ability to write reports, manuals, speeches and articles using distinctive style. Ability to make effective and persuasive presentations on complex topics to employees, clients, top management and/or public groups. Ability to motivate and negotiate effectively with key employees, top management, and client groups to take desired action.
  
• Ability to establish and maintain a high level of customer trust and confidence in the overall information and analytics space
  
• Excellent oral, written, and presentation communication skills. Strong negotiation and group facilitation skills; ability to move a process forward, while meeting the needs of a variety of clients.
  
• Excellent collaboration, influence and leadership skills. Ability to work with various levels of peers including analysts, developers and executives regarding complex business and data related issues.
  
• Relationship management skills that include excellent listening and consultative capability, the ability to influence and negotiate with business and technology partners to drive change, and the ability to take a broad perspective and make key connections
  

FINANCIAL KNOWLEDGE

• 
  
• Requires basic knowledge of financial terms and principles.
  
• Participates in complex financial/business analysis and report reviews prepared peers or leaders.
  
• Manages to and oversees department budget.
  

REASONING ABILITY

• 
  
• Ability to solve advanced problems and deal with a variety of options in complex situations. Requires expert level analytical and quantitative skills with proven experience in developing strategic solutions for a growing matrix-based environment. Draws upon the analysis of others and makes recommendations that have a direct impact on the company.
  
  • 
    
  • Understanding of global organizational design and the ability to shape and drive large-scale, cross-functional programs around people, technology, processes, and tools.
    
  • Demonstrated ability to balance long-term strategy with quick wins.
    
  • Demonstrated ability for strategic influencing and education of cross-functional stakeholders about the strategic importance and value of data governance
    
  • Excellent managerial skills; collaborative, imaginative, resourceful, reliable, technically savvy.
    
  • Superior analytical and creative problem-solving skills. Demonstrated successes in data analysis, drawing conclusions and improvement. Apply listening and consultative skills to understand business needs; be able to interpret requirements, identify impacts and analyze problems to determine impacts to business processes across the organization.
    
  • Ability to work well under deadlines, ability to work in a multi-tasking production environment to make good judgments about competing priorities.
    
  • Ability to tell a story to explain or sell a concept.
    
  
  
  

OTHER SKILLS and/or ABILITIES

• 
  
• Utilizes an entrepreneurial approach and develops innovative solutions.
  
• Ability to write business cases, process maps, presentation materials and articles using distinctive style.
  
• Ability to make effective and persuasive presentations on complex topics across various levels of leadership
  
• Expert level analytical and quantitative skills with proven experience in developing strategic solutions for a growing matrix-based multi-industry sales environment.
  
• Ability to use strong conceptual and analytical skills to generate insights and recommendations.
  
• Demonstrated information management and quantitative skills, including working knowledge of IT infrastructure, various technologies/ platforms, and aligned vendor solutions with enterprise strategic priorities.
  
• Experience managing small to mid-size teams and delivering results.
  
• Thorough knowledge of cutting-edge data management tools, industry advances, etc.
  
• Superior project management/ consulting and leadership skills. Demonstrated ability to facilitate complex, mission critical projects and to develop, participate in and guide multi-disciplinary work teams. Manage task timelines and deliverable schedules and share concerns about deliverables, timelines, and issues with Data Governance services or deliverables.
  
• Superior ability to manage, manipulate and analyze raw data, draw conclusions, and develop actionable recommendations using technology. Articulate the issues and resolutions via business-friendly communications. Serve as primary day-to-day contact for regional data management issues.
  
• Advanced understanding of data quality management. Knowledge of data governance and how it impacts business processes.
  
• Knowledge of master data management in a global environment, including data lifecycle and maintenance processes.
  
• Skills in MS Visio, Word and PowerPoint is a plus.
  
• Experience with reference data management tools at including Collibra, MS Excel, SQL query, etc., is a plus.
  
• Software development lifecycle knowledge, with background in agile philosophies and
  

Job Title: Distribution and Marketing Data Product Manager

Division: Beazley Shared Services - Data Management

Location: Multiple Locations, US

Hybrid Role

Reports To: Head of Data Products

Key Relationships: Chief Data Office, Data Leadership Team, Data Owners, Distribution and Marketing, CRM, Data Governance and Quality, Data Stewards, Data Architects, Delivery Team members, Technology Team, Finance, Underwriting, Operations and other Business Stakeholders

Beazley:

Beazley is a global specialist insurance company with over 30 years' experience helping people,

communities, and businesses to manage risk all around the world. Our products are wide ranging from cyber & tech to marine, healthcare, financial institutions, and contingency, covering risks like the weather, film production or protection from deadly weapons.

We are a flexible and innovative employer offering a friendly, collaborative, diverse and inclusive work environment. We encourage applications from all backgrounds. Collaboration in office spaces is important and we use a hybrid approach with a minimum of 2 days in the office per week.

We have a wonderful mix of cultures, experiences, and backgrounds at Beazley with over 1500 of us working around the world. Employee's diversity, experience and passion allow us to keep innovating and moving forward, delivering the best. We hire people with wide perspectives, and we have set bold diversity targets as we work towards excellence.

Data @ Beazley:

Our Data team supports Beazley's vision by...

* Being bold through pioneering & championing an exciting vision of how people interact with data

* Facilitating innovation by leading the pace of change in data & analytics, and facilitating the latest capabilities and innovative technologies

* Doing the right thing by providing a controlled working data environment that allows all business domains to thrive independently

* Being the single source of truth for enterprise-wide reporting metrics and KPIs

Our Data team is located at multiple offices across UK, Europe and the US. The specified home office location options provide the best balance for being co-located with key Data Office colleagues and business stakeholders.

The Role:

Data is one of Beazley's greatest assets and this roles is critical to supporting our Distribution and Marketing insights, which includes Customer, Broker and Marketing data. We're seeking a strategic and technically savvy Data Product Manager to lead the strategy, development and evolution of data products and insights that empower our distribution and marketing teams. This role is critical to aligning our data, unlocking insights, and informing growth opportunities across our specialty portfolio. In this role, you will also work to mature data literacy and capabilities as Beazley undertakes a significant investment in modernization, enabling you to embed a culture of data excellence and innovation in our delivery.

Key Responsibilities:

• Partner with the global Distribution and Marketing team to understand, prioritize and develop data products and insights that support their business strategy.

• Build and own a roadmap to provide regular updates on delivery commitments for data products, insights, enhancements and queries.

• Manage stakeholder relationships to support the growth strategy for Beazley customers, brokers, teams and products.

• Produce insights and key data trendsthat highlight business performance, RoI, efficiencies and game-changing growth opportunities.

• Inspire the adoption and use of insights to drive decisions in investment and operations that improve efficiency and drive growth by leading demonstrations and hands on training sessions.

• Lead a team of Product Owners, Product Analysts, Business Analysts and a development team to deliver and maintain data products and insights; maintaining a backlog of work within Jira.

• Represent the business in data governance discussions, escalating issues as appropriate.

• Ensure that data product development considers policy, methodology and standards, and ensure these are adhered to during product development.

• Evaluate the performance of your data product portfolio against KPIs defined by the business and provide feedback on the value delivered.

• Proactively anticipate business needs and look for opportunities to bring innovation or new approaches into the user design, experience, product development and insights.

• Relentlessly focus on the Distribution and Marketing team as a customer, delivering high quality data and insights that are clear and inspire action.

• Partner with the Data Governance Group and CRM solution team (Customer Relationship Management) to drive improvements in our Customer and Broker data quality through MDM and other tools.

• Provide leadership, direction, development and support to direct reports (including off-shore resources).

Essential Criteria:

• Bachelor's degree in Business, Marketing, Data Science, Computer Science, Economics, Statistics or related field; Master's degree preferred

• Proven experience in data product management, marketing analytics or distribution strategy, preferably in insurance or financial services

• Experience working with data, building data models, and sharing insights

Skills and Abilities:

• Strategic and curious with the ability to design and develop data and insights that support our Distribution and Marketing team's goals, planning, performance and incentives that drive growth

• Understand the specialty insurance market, customer segmentation and distribution channels, with experience in North America, Lloyd's, Retail and Wholesale markets preferred

• Ability to lead workshops that help your stakeholders identify data needs and articulate their desired user experience, with the ability to build dashboards preferred

• Strong organization and communication skills with the ability to direct work, document requirements and present demos

• Advanced technical skills with the ability to dive into the data, identify anomalies, and provide high quality, trusted data

• Understanding of Specialty Insurance principles and key drivers to create opportunities, loyalty and growth

Knowledge and Experience:

• Experience in Data Products, Data Analytics, Data Science, Statistics, Economics or related fields in Insurance, Financial or sales organizations preferred

• Strong understanding of MDM and CRM systems and their use with Customer and Broker data

• Proficiency in data visualization (Power BI), analytics platform (Snowflake), dashboard design and data storytelling

• Experience working with insurance data, and in particular a strong understanding of pipeline intelligence for sales growth/ targeting and performance

• Ability to use predictive modeling to drive an understanding of performance, customer behavior, and prospective renewals/ growth to help the Distribution Sales team focus on the best opportunities

• Experience managing relationships and teams of stakeholders, business analysts, data analysts, data architects, data modelers, data engineers and testers using agile processes

• Skills in data engineering technologies like Kafka, Snowflake / Snowpark, DataBricks, Jira and Agile principles

• Experience in managing and manipulating large internal and external datasets

• Knowledge of relational and dimensional database structures, theories, principles, and practices

• Driven and proven team player with ability to work with all levels in a highly intellectual, collaborative, and fast paced environment

• Excellent communication skills, with the ability to tailor them appropriately for different audiences, technical backgrounds, and seniority

Who We Are:

Beazley is a specialist insurance company with over 30 years' experience helping people, communities and businesses to manage risk all around the world. Our mission is to inspire our clients and people with the confidence and freedom to explore, create and build - to enable businesses to thrive. Our clients want to live and work freely and fully, knowing they are benefitting from the most advanced thinking in the insurance market. Our goal is to become the highest performing sustainable specialist insurer.

Our products are wide ranging, from cyber & tech insurance to marine, healthcare, financial institutions and contingency; covering risks such as the weather, film production or protection from deadly weapons.

Our Culture

We have a wonderful mix of cultures, experiences, and backgrounds at Beazley with over 2,000 of us working around the world. Employee's diversity, experience and passion allow us to keep innovating and moving forward, delivering the best. We are proud of our family-feel culture at Beazley that empowers our staff to work from when and where they want, in an adult environment that is big on collaboration, diversity of thought and personal accountability. Our three core values inspire the way we work and how we treat our people and customers.

• Be bold
• Strive for better
• Do the right thing

Upholding these values every day has enabled us to become an innovative and responsive organization in touch with the changing world around us - our ambitious inclusion & diversity and sustainability targets are testament to this.

We are a flexible and innovative employer offering a friendly, collaborative, and inclusive working environment. We actively encourage and expect applications from all backgrounds. Our commitment to fostering a supportive and dynamic workplace ensures that every employee can thrive and contribute to our collective success.

Explore a variety of networks to assist with professional and/or personal development. Our Employee Networks include:

• Beazley RACE - Including, understanding and celebrating People of Colour
• Beazley SHE - Successful, High potential, Empowered women in insurance
• Beazley Proud - Our global LGBTQ+ community
• Beazley Wellbeing - Supporting employees with their mental wellbeing
• Beazley Families - Supporting families and parents-to-be

We encourage internal career progression at Beazley, giving you all the tools you need to drive your own career here, such as:

• Internal Pathways (helping you grow into an underwriting role)
• iLearn (our own learning & development platform)
• LinkedIn Learning
• Mentorship program
• External qualification sponsorship
• Continuing education and tuition reimbursement
• Secondment assignments

The Rewards

• The opportunity to connect and build long-lasting professional relationships while advancing your career with a growing, dynamic organization
• Attractive base compensation and discretionary performance related bonus
• Competitively priced medical, dental and vision insurance
• Company paid life, and short- and long-term disability insurance
• 401(k) plan with 5% company match and immediate vesting
• 22 days PTO (prorated for 1st calendar year of employment), 11 paid holidays per year, with the ability to flex the religious bank holidays to suit your religious beliefs
• Up to $700 reimbursement for home office setup
• Free in-office lunch, travel reimbursement for travel to office, and monthly lifestyle allowance
• Up to 26 weeks of fully paid parental leave
• Up to 2.5 days paid annually for volunteering at a charity of your choice
• Flexible working policy, trusting our employees to do what works best for them and their teams

Salary for this role will be tailored to the successful individual's location and experience. The expected compensation range for this position is $130,000-$150,000 per year plus discretionary annual bonus.

Don't meet all the requirements? At Beazley we're committed to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't perfectly align with every requirement and qualification in the job specification, we encourage you to apply anyway. You might just be the right candidate for this, or one of our other roles.

We are an equal opportunities employer and as such, we will make reasonable adjustments to our selection process for candidates that indicate that, owing to disability, our arrangements might otherwise disadvantage them. If you have a disability, including dyslexia or other non-visible ones, which you believe may affect your performance in selection, please advise us in good time and we'll make reasonable adjustments to our processes for you.

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Team & Mission

The Privacy & Conversion Data team is responsible for how the company safely and compliantly uses conversion data to power monetization. We build and operate the core privacy infrastructure behind ads reporting and optimization, including controlled data environments, finegrained access controls, centralized privacy rules enforcement, and deidentification pipelines for conversion data. Our mission is to make conversion data privacypreserving by default-centralized, deidentified, auditable, and easy for teams to use, while maintaining high utility for advertisers and staying ahead of an evolving global regulatory landscape.

Role Summary

We're seeking a Staff Engineer to lead the architecture and technical direction for the conversion data privacy platform, spanning both core Conversion Data systems and deidentification for ads reporting. You'll own the endtoend design and evolution of privacycritical pipelines and services, partner closely with Product, Data Science, Legal, and infrastructure teams, and set the technical bar for how we use conversion data safely at scale.

What you'll do:

• 
  
• Lead the technical strategy and architecture for conversion data privacy across access controls, deidentification, deletion, and privacy rules enforcement, driving toward a centralized, deidentifiedbydefault, automated privacy platform for monetization.
  
• Design and evolve core privacy infrastructure including controlled environments for sensitive data, finegrained authorization and policy enforcement, and a central policy repository that consistently governs access across major data platforms and query engines.
  
• Own deidentification pipelines for ads reporting endtoend-from separating sensitive and nonsensitive data, applying deidentification techniques and transformations, and generating privacypreserving datasets, to validating data utility and feeding reporting and analytics surfaces.
  
• Build and improve privacy frameworks and tooling (for both online and offline workflows) that make safe, compliant conversion data usage simple and selfservice for downstream teams, reducing onboarding friction for new datasets, restrictions, and use cases.
  
• Drive operational excellence and compliance by defining SLAs, building robust monitoring and alerting (e.g., deidentification quality, optout metrics, data leakages), leading incident response, and developing performant deletion and leakagehandling workflows that meet regulatory and audit requirements.
  
• Partner crossfunctionally with ads, data, product, legal, and infrastructure stakeholders to translate legal/privacy requirements into technical designs, make clear tradeoffs between privacy and utility, and drive alignment on roadmaps, launches, and policy changes that impact advertisers and users.
  
• Mentor and uplevel engineers across multiple teams, lead critical design and code reviews in privacysensitive areas, and establish best practices and documentation for privacybydesign, deidentification, and largescale data systems.
  

What we're looking for:

• 
  
• BS+ in Computer Science (or related field) or equivalent practical experience.
  
• 8+ years of professional software engineering experience, with a focus on largescale data systems or distributed systems.
  
• Strong proficiency building and operating data pipelines and services using Java/Scala/Kotlin or Python, plus SQL; experience with modern big data ecosystems is a plus.
  
• Experience designing secure, reliable systems and APIs, with solid grounding in data modeling, access control, and performance optimization.
  
• Meaningful experience in at least one of: privacypreserving data systems (e.g., deidentification, kanonymity), ads measurement/attribution, or largescale analytics/experimentation platforms.
  
• Proven ability to drive crossteam technical initiatives from design through rollout, working closely with product, data science, and nonengineering partners (e.g., Legal, Compliance).
  
• Strong communication and leadership skills, with a track record of mentoring engineers, raising engineering standards, and making sound decisions in ambiguous, highimpact problem spaces.
  

In-Office Requirement Statement:

• 
  
• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-REMOTE

#LI-KK6

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion: