Data Enrichment Manager Job at The Emerald Group Ltd, Search and Selection (West Country or South West London)

Product Manager, Enrichment & AI

We're looking for a Product Manager to own Enrichment—one of Clay's most critica...

Location

United States , New York

Salary:

240000.00 - 300000.00 USD / Year

Clay

Expiration Date

Until further notice

Requirements

7+ years of product management experience at high-growth B2B SaaS companies (1-100 or 100-1000 stage preferred)
Experience owning complex, technical products—ideally data platforms, workflow automation, or developer tools
Strong understanding of integrations, APIs, and how technical systems connect (CS degree not required, but you're a fast technical learner)
Track record of driving cross-functional alignment across product, engineering, and go-to-market teams
Excitement about AI's potential to transform how users interact with data

Job Responsibility

Own the vision, strategy, and roadmap for Enrichment—including tables, integrations, Claygent, and our data marketplace
Lead core AI product initiatives, including using AI to automatically build tables and research workflows
Partner with engineering to ship high-quality features across 5+ engineering teams
Work cross-functionally with GTM and Solutions teams to ensure product-market fit at scale
Balance performance, complexity, and user experience as we scale enrichment infrastructure

What we offer

Offers Equity
All employees can work for free with world-class coaches who specialize in creativity, management, and more

Fulltime

Gtm Data Manager

We are looking for a GTM Data Manager to join our Revenue Operations team. This ...

Location

United States

Salary:

135600.00 - 203800.00 USD / Year

Clio

Expiration Date

Until further notice

Requirements

Minimum of 5 years of experience in a data stewardship or data analytics role, preferably in the SaaS industry in Revenue Operations, Data Operations, or related fields
Experience of successful database integrations post M&A or after partnership agreements
Experience of managing and QAing offshore/overseas analyst teams
Strong analytical skills with experience building data quality and governance frameworks
Proven ability to develop presentations with strong visual storytelling
Knowledge of statistical modeling techniques (e.g., multivariable regression analysis)
Experience with Python, Databricks, and data querying (e.g. SQL/SAQL/SOQL for collecting data from multiple data systems) or programming languages is a plus

Job Responsibility

Overseeing the integration of AI tools (Clay, Perplexity AI, ChatGPT, Hunter, Python web-scraping libraries) and manual validation processes for effective data enrichment and validation
Directing the work of overseas data analysts, ensuring quality, productivity, and SLA adherence
Managing data source identification, controls monitoring, data quality frameworks, and data management
Driving workshops independently with business stakeholders to understand their use cases and implementing solutions to address the pain points of each GTM group
Establishing and enforcing scalable data quality processes, including automated checks, deduplication, enrichment, and regular data governance reviews
Tracking and improving current data quality and accuracy levels to reach GTM data accuracy benchmarks
Monitoring monthly record ingestion and managing the deduplication process in Salesforce, Hubspot, and Marketo
Serving as the point of contact for data vendor relationships (ZoomInfo, Openprise, etc.) and managing consumption of credits to minimize the cost of data enrichment
Defining and gathering business functional data quality rules for core customer and sales metrics
Optimizing data hierarchy structures and leading hierarchy enrichment/attribution initiatives

What we offer

Competitive, equitable salary with top-tier health benefits, dental, and vision insurance
Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, and Dublin) to be in office minimum 2 days per week on our Anchor Days
Flexible time off policy, with an encouraged 20 days off per year
EAP benefits for you and household members, including counseling and online resources
401k matching and Child Education Savings
Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years

Fulltime

Sr. Manager, Data Product

The Senior Manager, Product Management is responsible for executing the vision, ...

Location

United States , Bellevue

Salary:

140500.00 - 253500.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Engineering, IT or equivalent experience
Master's/Advanced Degree In Business Administration
10+ years of relevant Product Management experience in an agile product development environment
4 – 7 years’ experience managing teams of 5 or more resources in direct reporting relationship in Product Management organization
Product Lifecycle Management Experience in delivering large and complex business/technology initiatives
Proven ability to communicate with Leadership effectively, while employing a high degree of collaboration and influence
Excellent written and verbal communication skills with ability to present complex technical information in a clear and concise manner to a variety of audiences including executives and non-technical leaders
Strong analytical skills with demonstrated ability to identify/analyze/synthesize product use data
Experience with Agile backlog/project management tools
At least 18 years of age

Job Responsibility

Works in collaboration with Director to develop strategy, plan, goals (outcomes) for their scope of business
Drive cross-functional alignments with various teams including Engineering, Business Assurance, Financial Operations and Accounting teams to understand current product experiences, identifies areas of opportunity and prioritize feature development
Define the strategic roadmap for enterprise data products, platforms, and AI-driven capabilities aligned with business priorities
Identify opportunities to modernize data ecosystems through automation, metadata enrichment, AI/ML, and advanced analytics
Develop business cases for new data products and enhancements, ensuring alignment with corporate goals, budgets, and expected ROI
Prioritize product roadmaps, manage backlogs, and ensure product requirements reflect user needs, technical feasibility, and scalability
Monitor industry trends in AI/LLMs, data architecture, governance, and analytics, integrating insights into product direction
Own the full lifecycle of multiple data products—from ideation and requirements through delivery, optimization, and retirement
Develops change management and regularly cascades Vision, Strategy to align goals with corporate priorities from executives to direct reports
Regularly provides review and guidance to Product Management team & Vendor on execution related responsibilities

What we offer

Annual stock grant
Employee stock purchase plan
401(k)
Access to free, year-round money coaches
Medical, dental and vision insurance
Flexible spending account
Employee stock grants
Employee stock purchase plan
Paid time off
Up to 12 paid holidays

Fulltime

Data Quality Manager

As our Data Quality & Insights Manager, you will lead a dedicated team of Data A...

Location

United Kingdom , Crick

Salary:

Not provided

City Plumbing

Expiration Date

Until further notice

Requirements

Relevant certifications in data management or data quality (e.g., CDMP, CIQM) are essential
A Bachelor's degree in Computer Science, Information Systems, or a related field is preferred
5+ years of experience in data processing or a related field, with proven experience implementing automation and AI for data profiling, cleansing, and standardisation
Proficiency in AI-driven data automation tools, understanding of machine learning principles, and exceptional capabilities in SQL, spreadsheets, and other data analysis tools
A strong understanding of data quality principles, data governance processes, industry standards, and familiarity with data privacy and security regulations

Job Responsibility

Team Leadership: Manage and inspire a permanent team of 3 Data Analysts and Administrators (with temporary flex for projects), leveraging AI tools to maintain data workflows
Data Quality Framework: Establish, maintain, and enforce comprehensive data quality frameworks, guidelines, and standards across the organisation using automation and AI-driven cleansing, standardisation, and enrichment
Monitoring & Issue Resolution: Continuously build, improve, and proactively report on data quality processes, collaborating across teams to resolve data issues in a timely and effective manner
Tool Evaluation & Implementation: Evaluate, select, and implement market-leading AI/ML automation platforms and technologies to support all data quality initiatives
Stakeholder Collaboration: Work closely alongside business stakeholders, data stewards, and IT teams to understand technical data requirements and ensure data quality meets business needs
Continuous Improvement: Drive the ongoing monitoring, analysis, and optimisation of data management practices to boost overall efficiency

What we offer

Discretionary Bonus
Enhanced pension options
Discounts, savings and cash back at numerous retailers
Life assurance
Extended family policy including maternity, paternity, additional annual leave and more
Mental Health First Aiders and Employee Assistance Programme
Complete induction and a company that lets you grow and encourages development
Financial education and loans
Flexible working options
A business striving to create an environment of inclusion so everyone can be their true self

Fulltime

Senior Digital Data Engineering Manager

As a Senior Digital Data Engineering Manager, you'll develop and drive the strat...

Location

United Kingdom; Netherlands; Germany; Sweden; Belgium , Luton; Rijswijk; Hanover; Stockholm; Zaventem

Salary:

Not provided

TUI

Expiration Date

June 26, 2026

Requirements

Proficiency in programming languages commonly used for data engineering such as Python, SQL, and Java, along with understanding of database technologies including relational and NoSQL databases
Experience with cloud platforms such as AWS, Azure, or GCP and their data services
Knowledge of data quality assurance methodologies and tools
Experience with data visualization tools such as Tableau or Power BI
Understanding of A/B testing and experimentation methodologies
Knowledge of digital customer journeys and touchpoints
Proven success developing analytics strategies and measurement frameworks
Ability to bridge technical and business perspectives and translate analytics into business value
Bachelor's degree in Business, Marketing, Computer Science, or related field
Proven experience in digital analytics, business intelligence, or related roles at a senior level

Job Responsibility

Develop and drive the strategic direction for TUI's digital analytics capabilities
Define analytics standards, frameworks, and best practices across digital platforms
Collaborate with stakeholders to identify opportunities for leveraging analytics to improve customer experience and business performance
Serve as the bridge between technical implementation and business value
Lead a team of data engineers to deliver against the roadmap
Manage the team, leading team meetings, managing the work load via JIRA and conducting one to ones
Mentor the engineers
Lead the design and implementation of data pipelines and integration processes for customer and marketing data
Design scalable ETL processes for analytics data
Develop data integration solutions between various platforms

What we offer

Attractive remuneration
Discretionary bonus schemes
Generous travel benefits
Extensive health & well-being support
Flexible working
Access to the TUI Learning Hub
Intercultural collaboration
Opportunities to work on global projects and teams
Community involvement with local charity and sustainability initiatives like the TUI Care Foundation

Fulltime

Data Product Manager (Digital & Loyalty)

Location

Poland , Warszawa

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

Advanced degree in Engineering, Data Science, Statistics, or a related analytical field.
7+ years of experience across one or more areas: data engineering, data analytics, or data stewardship.
3+ years of experience working with mobile and web analytics platforms (e.g., Google Analytics, BigQuery)
experience with loyalty program data is a strong plus.
Strong hands-on experience with SQL, analytical and visualization tools (e.g., Power BI), and cloud data warehouses such as Snowflake.
Solid understanding of data governance frameworks and data privacy regulations, including GDPR.

Job Responsibility

Partner with the Group Product Manager to maintain the data product vision, roadmap and backlog with clear acceptance criteria and measurable outcomes.
Translate business questions into metric definitions, data models and scalable self-service data products.
Collaborate with App & Web Architects to ensure accurate tagging of key user events in mobile apps (e.g., GA4)
Coordinate with Data Engineering to integrate mobile apps and retail loyalty datasets for a unified end-to-end customer journey.
Monitor data pipelines, investigate quality issues and implement automated validation, alerting and remediation processes.
Operationalize data governance, privacy and security requirements
Maintain the data catalog and lineage documentation to support discovery
Define and enforce data contracts, SLAs and schema-change processes with source teams.
Liaise with Performance Analytics to deliver certified datasets on time for monthly leadership dashboards and ad-hoc reporting.
Conduct stakeholder interviews to confirm data readiness for key insights and dashboards.

What we offer

Annual bonus
Private medical care
Cafeteria Platform/Multisport
English lessons subsidized by the company
Group insurance
Attractive discounts for products and services at our stations
Employee stock purchase plan
Employee Assistance Program (Lyra)
Modern and convenient office
Trainings & possibility to develop skills in a wide international environment

Fulltime

GTM Salesforce Data Quality & Enrichment Lead

As the GTM Salesforce Data Quality & Enrichment Lead at Vanta, you will own the ...

Location

United States

Salary:

127000.00 - 149000.00 USD / Year

Vanta

Expiration Date

Until further notice

Requirements

4+ years of experience in data operations, CRM data management, or GTM systems with deep focus on data quality and enrichment
Strong technical proficiency with Salesforce data architecture including objects, fields, relationships, and data flows
Hands-on experience managing data enrichment platforms (ZoomInfo, Clearbit, Apollo, etc.) and vendor relationships
Proficiency with SQL/SOQL for data analysis, validation, and troubleshooting
Proven experience supporting end users (sales, marketing teams) with data-related questions and issues
Deep understanding of data quality frameworks including deduplication strategies, validation rules, and data governance
Experience managing data movement between Salesforce and external systems including data warehouses (Snowflake, etc.)
Strong analytical skills to monitor data health, identify quality issues, and implement observability frameworks
Experience with data acquisition strategy including budget management and vendor selection
Excellent cross-functional collaboration skills to work with Data Engineering, Operations, and GTM teams

Job Responsibility

Own the strategy and operations for all GTM data in Salesforce, including contacts, accounts, opportunities, and product data
Develop and execute the enrichment strategy, determining what data to enrich, when, and through which vendors
Manage relationships with data enrichment and acquisition vendors (ZoomInfo, Clearbit, etc.), including contract negotiations, optimization, and budget management
Provide front-line data support to end users (SDRs, AEs, CSMs), troubleshooting data issues and ensuring teams understand how to effectively use data
Establish and maintain data quality standards including integrity checks, accuracy validation, and deduplication strategy
Own data movement architecture—managing how data flows into Salesforce, out to other GTM systems, and into the data warehouse
Implement observability and monitoring frameworks to track data health, quality metrics, and system performance
Define and execute net new data acquisition strategy, including sourcing decisions, timing, budget allocation, and vendor selection
Understand data usage patterns across teams, establish purging policies, and monitor signals that indicate data lifecycle needs
Use SQL/SOQL to analyze data quality issues, validate transformations, and coordinate cross-functionally with Data Engineering and GTM Systems teams

What we offer

Offers Equity
medical benefits
401(k) plan
other company perk programs
Comprehensive medical, dental, and vision coverage, with 100% of employee-only benefit premiums covered for most medical plans
16 weeks fully-paid Parental Leave for all new parents
Health & wellness stipend
Remote workspace, internet, and cellphone stipend
Commuter benefits for team members who report to the SF and NYC office
Family planning benefits

Fulltime

Product Manager, AI Data Pipelines & Developer Community

As a Product Manager for AI Data Pipelines & Developer Community, you will be in...

Location

United States , Campbell

Salary:

Not provided

Komprise, Inc.

Expiration Date

Until further notice

Requirements

Proven experience in product management, particularly with a focus on data and AI-driven products
Strong understanding of technical data architectures, machine learning models, and AI applications in a business context
Demonstrated success in growing technical product adoption and developer communities
Experience working with large datasets, data pipelines, and data platforms
Excellent communication and interpersonal skills, with the ability to convey complex ideas to both technical and non-technical audiences
Proven ability to think strategically and execute methodically, translating complex problems into actionable solutions
A Bachelor’s degree in Computer Science, Data Science, Business, or a related field is preferred

Job Responsibility

Define and Drive Product Strategy: Develop and communicate a clear vision and roadmap for the AI data pipeline platform and associated developer tools, ensuring alignment with business goals and market needs
Build and Optimize AI Data Pipelines: Work closely with our product team and IT, end-users, data engineers and data scientists from our customers to build, optimize, and maintain scalable data pipelines that allow them to enrich, classify, curate data for AI agents for augmentation and inferencing
Translate User Needs into Product Requirements: Gather and prioritize user requirements, translating them into detailed product specifications and coordinating development efforts with engineering and data science teams
Champion Developer Experience: Understand the needs of the developer community, both internal and external, and develop tools, resources, and programs that enhance their experience building with our AI data platform. Investigate participation in partner developer communities and open-source communities
Grow and Engage the Developer Community: Lead efforts to foster a vibrant developer community, potentially through events, forums, technical content, and strategic outreach
Measure and Analyze Product Performance: Define and track key metrics to measure the success and impact of both the AI data platform and community engagement efforts, using data-driven insights to iterate and improve
Cross-Functional Collaboration: Partner effectively with cross-functional teams, including engineering, marketing, sales, and customer success, to ensure product vision alignment and drive successful execution
Stay Ahead of the Curve: Monitor industry trends, emerging technologies, and competitive offerings related to AI, data infrastructure, and developer ecosystems

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Data Enrichment Manager

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