1,843 Data Coe Enggineering IT Big Data Operations jobs in India
Data Coe Enggineering.it - Big Data Operations
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Job Description
- Overview
- A highly motivated and technically proficient professional, capable of delivering solution on Data Engineering and Operations in Cloud platform. He or she must be skilled in developing all rituals for Data Engineering and operations including ELT, SQL & No-SQL storage, data pipelining, data vault modeling, data ingestion, monitoring, visualization etc.
- Job Responsibilities
- Data Operations:
- Aftercare, maintenance & support of the on-boarded & modeled sources.
- General L1/L2 support for solving tickets from business units.
- User support for Azure instances and Tableau server.
- Onboarding of new data sources in terms of specific steps.
- Maintenance of central Tableau server instance for CASE/RD.
- License mgmt.
(Requirements, ordering and implementation).- Operation and maintenance of already developed data engineering solution in Azure.
- Development of data pipelines for different projects.
- Complete modelling of new data vaults.
- Consistency check of data between reservoir and domain Data Lake.
- Support in run topics (CI/CD, instance management etc.).
- Test of new Azure instance with subscribed resources.
- Monitoring of instances (#user, cost, versions on VM, resource load).
- Documentation of instances under our responsibility.
Qualification
- Mandatory:
- Bachelor's /post graduate degree in Computer Science, Computer Engineering or Data Science, Data Engineering with strong knowledge in below technologies,
- Azure Data Engineering
- Data factory,
- Databricks,
- Tableau/PowerBI
- ADLS
- User Management
- Monitoring
- Backup concept
- Setup new instances
- Azure DevOps CI/CD.
- Knowledge on ITIL framework
Desired:
- Experience in building Knowledge Base (KB)
- Experience in taking over Knowledge Transfer
- Creating Service Level Agreements (SLA)
- Open to work/explore new technology areas.
- Good in any of the programming language such as - Pyspark, SQL, Scala.
No. of positions
- 1**Qualifikationen**:
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Operations - Data Operations Coe - Data Governance - Professional
Posted today
Job Viewed
Job Description
KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment approach, employing world-class people, and supporting growth in its portfolio companies and communities. KKR sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds. KKR’s insurance subsidiaries offer retirement, life and reinsurance products under the management of Global Atlantic Financial Group. References to KKR’s investments may include the activities of its sponsored funds and insurance subsidiaries.
**KKR's Gurugram** office provides best in class services and solutions to our internal stakeholders and clients, drive organization wide process efficiency and transformation, and reflect KKR's global culture and values of teamwork and innovation. The office will contain multifunctional business capabilities and will be integral in furthering the growth and transformation of KKR.
**TEAM OVERVIEW**
KKR is building out an enterprise Data Operations group to collect, manage, and harness the power of data across our diverse business activities. The Data Operation Centre of Excellence (CoE) is a cross functional team dedicated to formulating & driving KKR’s enterprise data management strategy while also providing the operation leverage required to bring these strategies/frameworks to life. The Data Ops CoE will consists of 2 focus areas (pillars); Data Management and Data Delivery.
**POSITION OVERVIEW**
The role is responsible for executing data management processes aimed at ensuring clean and quality data in the KKR data ecosystem. They will be part of KKR’s enterprise data group which collects, manages, and harnesses the power of data across our diverse portfolio investments. They will work collaboratively across the firm to set standards & best practices for data management while providing the operating leverage to centrally support the roll-out/ execution of these frameworks
**ROLES & RESPONSIBILITIES**
**Operational Excellence**
- Maintain consistent, accurate and complete data within KKR’s data ecosystem
- Implement data quality controls leveraging industry best tools i.e. Collibra
- Create and maintain data quality reporting functionality as per business needs
- Ensure data governance practices and activities are embedded across business units
- Execute and manage ad hoc data related projects within specified deadlines
- Collibra workflow development and maintenance
Stakeholder Management
- Collaborate with engineering and IT to support and make recommendations for enhanced digital reporting capabilities and automated data reconciliation
- Communicate and work closely with relevant teams to close data gaps in a clear and timely manner
- Serve as point of contact for data-related questions and updates from various internal and external groups, delivering ad-hoc analytics to answer key business questions in a timely manner
Reporting & Governance
- Design and document standard operating procedures for data management
- Implement and own best in class data governance practices; ensuring that data is well defined & transparently documented
**QUALIFICATIONS**
- Bachelor’s Degree or equivalent work experience required
- 2-4 years of data operation experience in financial services
- Experience in a multinational Financial Services organization and/or Private Equity preferred
- Ability to manage standard reports, templates & dashboards
- Ability to validate and review data
- Ability to adhere to the compliance requirements of processes
- Ability to design and execute data management focusing on data governance and data quality activities.
- Experience of using tool like Collibra is a must.
- Systems/ Tools/ Application knowledge:
- Experience with process design and process enhancement
- Proficiency in data operations and data management
- Advanced proficiency in Excel
- Skills in a BI tool such as Power BI
- Advanced SQL skills
- Experience with Python is a plus
- Displays high attention to detail
- Demonstrates outstanding initiative and strong work ethic
- Focuses on delivery excellence and accountability
- Displays team-work orientation and is highly collaborative
- Displays strong integrity and professionalism
- Builds strong relationships with local and global colleagues
- Demonstrates strong track record in accuracy and organization
- Demonstrates excellent written, verbal, and interpersonal communication skills
**#LI-Onsite**:
KKR is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.
Data Operations Engineer
Posted 5 days ago
Job Viewed
Job Description
32639
**Data Operations Engineer**
Regular
Pune, India ( My candidate profile
Syensqo is all about chemistry. We're not just referring to chemical reactions here, but also to the magic that occurs when the brightest minds get to work together. This is where our true strength lies. In you. In your future colleagues and in all your differences. And of course, in your ideas to improve lives while preserving our planet's beauty for the generations to come.
**Do you thrive on supporting complex data solutions that drive business success? Are you ready with our data engineers to elevate data integration, storage and services to new heights shaping the future of advanced materials? If yes, you are the one we are looking for.**
**About Syensqo**
Syensqo is all about chemistry. We're not just referring to chemical reactions here, but also to the magic that occurs when the brightest minds get to work together. This is where our true strength lies. In you. In your future colleagues and in all your differences. And of course, in your ideas to improve lives while preserving our planet's beauty for the generations to come that do data & AI supporting our business.
**About the job**
As a Data Operations Engineer you will be part of the Data team which encompasses currently several Technologies and Services.
We are seeking a highly motivated and rigorous Data Operations Engineer that will be responsible for the day-to-day management, monitoring, and optimization of our data infrastructure. You will handle incident tickets, troubleshoot issues, and ensure the smooth operation of data pipelines and platforms. Your work will directly support business continuity and data reliability.
You will be in contact with business stakeholders and participate in the building of new capacities.
Context : Syensqo is transforming its IT solution putting Data & AI at a step further with strong expectation for the data to deliver its value and for the business to be more effective.
**Key responsibilities:**
+ Monitor and maintain scalable data pipelines and platforms in production.
+ Respond to and resolve incident tickets related to data operations.
+ Optimize operational processes for efficiency and reliability.
+ Collaborate with the data team and its stakeholders to ensure data quality and availability.
+ Document operational procedures and incident resolutions.
+ Participate in building new IT capacities for the business.
**_Education and experience_** **_*_**
_Indicate the required education in terms of minimum years of education, required type of degree, field of studies, etc. and the required knowledge and/or experience in terms of minimum years of experience in the respective field_
+ Bachelor's degree in Computer Science, Information Systems, or related field.
+ 5+ years of experience in data operations, data engineering, or similar roles.
+ Experience with CI/CD data pipeline tools (e.g., Airflow, Talend), SQL, and cloud platforms.
+ Strong problem-solving and communication skills.
+ Strong problem-solving skills and experience with ITSM/ticketing tools.
+ Strong competency with data manipulation: Python, SQL, Talend, cloud function (Azure), Proven expertise with GCP, Azure, Kafka.
+ Proficiency in BMC Helix and/or JIRA for ticket/task management and Confluence for documentation
+ Have a good knowledge of RUN Service and experience with development
**_Skills and behavioral competencies_** **_*_**
_Indicate the required skills and behavioral competencies_
+ Time Management and Self-management: Effectively prioritize and manage multiple incident tickets and operational tasks.
+ Customer Service Orientation: Proactively supports internal users and stakeholders, ensuring their data needs are met reliably and efficiently.
+ Accountability: Takes ownership of incidents and operational tasks, following through to resolution.
+ Collaboration: Works effectively with cross-functional teams, including data engineers, analysts, and IT support.
+ Adaptability: Remains flexible and calm under pressure, especially when responding to urgent incidents or changing priorities.
+ Continuous Improvement: Seeks opportunities to optimize processes and prevent recurring issues.
+ Resilience: Maintains performance and a positive attitude during high-pressure situations or when facing setbacks.
+ Integrity: Handles sensitive data responsibly and adheres to company policies and compliance standards.
+ Attention to Detail: Precision in monitoring, troubleshooting, and documenting processes.
+ Team spirit, building relationships, collective accountability
+ You love working in a collaborative environment that has a strong focus on teamwork, innovation, open minds and having fun
**_Language skills_** **_*_**
_Indicate the required language skills (mandatory and optional)_
Fluent in English
Other language is a plus particularly French (not mandatory)
**_What's in it for the candidate_**
+ Be part of and contribute to a once-in-a-lifetime change journey
+ Willing to be part of a team that is going to tackle big bets
+ Have a fun and work at a high pace
+ Be part of a forward-thinking company committed to innovation and excellence.
+ Work in a collaborative and inclusive environment that values diverse perspectives.
+ Contribute to actions that have a meaningful impact on advancing humanity.
+ If you are passionate about data engineering and eager to make a difference, we invite you to apply for this exciting opportunity at Syensqo.
About us
+ Syensqo is a science company developing groundbreaking solutions that enhance the way we live, work, travel and play. Inspired by the scientific councils which Ernest Solvay initiated in 1911, we bring great minds together to push the limits of science and innovation for the benefit of our customers, with a diverse, global team of more than 13,000 associates. Our solutions contribute to safer, cleaner, and more sustainable products found in homes, food and consumer goods, planes, cars, batteries, smart devices and health care applications. Our innovation power enables us to deliver on the ambition of a circular economy and explore breakthrough technologies that advance humanity.
+ At Syensqo, we seek to promote unity and not uniformity. We value the diversity that individuals bring and we invite you to consider a future with us, regardless of background, age, gender, national origin, ethnicity, religion, sexual orientation, ability or identity. We encourage individuals who may require any assistance or accommodations to let us know to ensure a seamless application experience. We are here to support you throughout the application journey and want to ensure all candidates are treated equally. If you are unsure whether you meet all the criteria or qualifications listed in the job description, we still encourage you to apply.
Data Operations Professional
Posted 6 days ago
Job Viewed
Job Description
Looking to hire a Data Operations professional to lead and unify our data teams in a fast-paced, campaign-driven environment. In this on-site role, based at our Pune office, you will oversee three previously siloed teams – Data Engineering, Database Administration, and Contact Discovery – totaling 30–50 professionals. You will be responsible for crafting and executing a comprehensive data strategy that ensures the quality, maintenance, and timely availability of lead data to support daily operations and long-term growth.
The ideal candidate is a seasoned leader with a passion for data and experience managing large datasets. You should be ready to drive clarity, accountability, and innovation across all data verticals, with a strong focus on delivery-readiness and operational alignment.
Key Responsibilities
- Team Leadership & Unification: Lead the Data Engineering, Database Administration, and Contact Discovery teams under a single cohesive vision. Promote collaboration, set clear goals, and drive accountability across all data functions.
- Data Strategy & Governance: Own and evolve our internal data strategy. Ensure proper governance, refresh cycles, documentation, and secure handling of high-volume lead data sets.
- Data Pipeline Management: Oversee database workflows and pipeline optimization in collaboration with engineering resources. Enhance ETL/ELT processes and systems to scale effectively with campaign volume.
- Contact Discovery Operations: Guide the contact discovery team in identifying relevant decision-makers and leads when internal databases are insufficient. Set standards for precision, relevance, and turn-around-time of lead generation support.
- Campaign Data Readiness: Ensure timely delivery of clean, compliant, and targeted datasets for campaigns. Collaborate with operations and quality teams to ensure data aligns with campaign specifications.
- Cross-Functional Collaboration: Act as a strategic partner to operations, sales, and client delivery teams. Ensure proactive data readiness for live and upcoming campaigns.
- Gap Identification & Innovation: Continually monitor data coverage, detect gaps across industries, job titles, or geographies, and implement initiatives to enrich lead data using compliant and scalable methods.
- Quality Control & Compliance: Implement checks to maintain data integrity and ensure all practices comply with applicable data regulations and client expectations.
- Reporting & Performance Optimization: Track team KPIs like data delivery timelines, volume, and accuracy. Present actionable insights to management and continuously drive improvements in data availability and reliability.
Required Qualifications & Skills
- Proven experience (8+ years) leading data operations or database functions, preferably within a high-volume, campaign-led delivery environment
- Hands-on knowledge of SQL and Python for querying, automation, and analytics
- Experience designing and managing data pipelines, database workflows, and structured data warehouses
- Demonstrated leadership in managing multiple data verticals and mid-sized teams (25+ people)
- Strong experience with LinkedIn Sales Navigator and other tools used for contact discovery and prospect research
- Deep understanding of how data operations support sales, marketing, and client success in a high-velocity campaign model
- Analytical mindset with high attention to detail and comfort working with large, dynamic datasets
- Excellent communication skills and ability to coordinate with technical and non-technical stakeholders
- Self-motivated, process-oriented, and proactive in identifying and solving data challenges at scale
Preferred Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or related fields
- Prior experience in lead generation, marketing tech, or data-intensive service delivery domains
- Familiarity with cloud-based data systems (e.g., AWS, BigQuery) and BI tools (e.g., Tableau, Power BI)
- Exposure to data integration tools, APIs, or CRM syncing
- Experience working in high-growth environments or startups
Data Operations Professional
Posted 2 days ago
Job Viewed
Job Description
Looking to hire a Data Operations professional to lead and unify our data teams in a fast-paced, campaign-driven environment. In this on-site role, based at our Pune office, you will oversee three previously siloed teams – Data Engineering, Database Administration, and Contact Discovery – totaling 30–50 professionals. You will be responsible for crafting and executing a comprehensive data strategy that ensures the quality, maintenance, and timely availability of lead data to support daily operations and long-term growth.
The ideal candidate is a seasoned leader with a passion for data and experience managing large datasets. You should be ready to drive clarity, accountability, and innovation across all data verticals, with a strong focus on delivery-readiness and operational alignment.
Key Responsibilities
- Team Leadership & Unification: Lead the Data Engineering, Database Administration, and Contact Discovery teams under a single cohesive vision. Promote collaboration, set clear goals, and drive accountability across all data functions.
- Data Strategy & Governance: Own and evolve our internal data strategy. Ensure proper governance, refresh cycles, documentation, and secure handling of high-volume lead data sets.
- Data Pipeline Management: Oversee database workflows and pipeline optimization in collaboration with engineering resources. Enhance ETL/ELT processes and systems to scale effectively with campaign volume.
- Contact Discovery Operations: Guide the contact discovery team in identifying relevant decision-makers and leads when internal databases are insufficient. Set standards for precision, relevance, and turn-around-time of lead generation support.
- Campaign Data Readiness: Ensure timely delivery of clean, compliant, and targeted datasets for campaigns. Collaborate with operations and quality teams to ensure data aligns with campaign specifications.
- Cross-Functional Collaboration: Act as a strategic partner to operations, sales, and client delivery teams. Ensure proactive data readiness for live and upcoming campaigns.
- Gap Identification & Innovation: Continually monitor data coverage, detect gaps across industries, job titles, or geographies, and implement initiatives to enrich lead data using compliant and scalable methods.
- Quality Control & Compliance: Implement checks to maintain data integrity and ensure all practices comply with applicable data regulations and client expectations.
- Reporting & Performance Optimization: Track team KPIs like data delivery timelines, volume, and accuracy. Present actionable insights to management and continuously drive improvements in data availability and reliability.
Required Qualifications & Skills
- Proven experience (8+ years) leading data operations or database functions, preferably within a high-volume, campaign-led delivery environment
- Hands-on knowledge of SQL and Python for querying, automation, and analytics
- Experience designing and managing data pipelines, database workflows, and structured data warehouses
- Demonstrated leadership in managing multiple data verticals and mid-sized teams (25+ people)
- Strong experience with LinkedIn Sales Navigator and other tools used for contact discovery and prospect research
- Deep understanding of how data operations support sales, marketing, and client success in a high-velocity campaign model
- Analytical mindset with high attention to detail and comfort working with large, dynamic datasets
- Excellent communication skills and ability to coordinate with technical and non-technical stakeholders
- Self-motivated, process-oriented, and proactive in identifying and solving data challenges at scale
Preferred Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or related fields
- Prior experience in lead generation, marketing tech, or data-intensive service delivery domains
- Familiarity with cloud-based data systems (e.g., AWS, BigQuery) and BI tools (e.g., Tableau, Power BI)
- Exposure to data integration tools, APIs, or CRM syncing
- Experience working in high-growth environments or startups
Data Operations Professional
Posted 6 days ago
Job Viewed
Job Description
The ideal candidate is a seasoned leader with a passion for data and experience managing large datasets. You should be ready to drive clarity, accountability, and innovation across all data verticals, with a strong focus on delivery-readiness and operational alignment.
Key Responsibilities
Team Leadership & Unification: Lead the Data Engineering, Database Administration, and Contact Discovery teams under a single cohesive vision. Promote collaboration, set clear goals, and drive accountability across all data functions.
Data Strategy & Governance: Own and evolve our internal data strategy. Ensure proper governance, refresh cycles, documentation, and secure handling of high-volume lead data sets.
Data Pipeline Management: Oversee database workflows and pipeline optimization in collaboration with engineering resources. Enhance ETL/ELT processes and systems to scale effectively with campaign volume.
Contact Discovery Operations: Guide the contact discovery team in identifying relevant decision-makers and leads when internal databases are insufficient. Set standards for precision, relevance, and turn-around-time of lead generation support.
Campaign Data Readiness: Ensure timely delivery of clean, compliant, and targeted datasets for campaigns. Collaborate with operations and quality teams to ensure data aligns with campaign specifications.
Cross-Functional Collaboration: Act as a strategic partner to operations, sales, and client delivery teams. Ensure proactive data readiness for live and upcoming campaigns.
Gap Identification & Innovation: Continually monitor data coverage, detect gaps across industries, job titles, or geographies, and implement initiatives to enrich lead data using compliant and scalable methods.
Quality Control & Compliance: Implement checks to maintain data integrity and ensure all practices comply with applicable data regulations and client expectations.
Reporting & Performance Optimization: Track team KPIs like data delivery timelines, volume, and accuracy. Present actionable insights to management and continuously drive improvements in data availability and reliability.
Required Qualifications & Skills
Proven experience (8+ years) leading data operations or database functions, preferably within a high-volume, campaign-led delivery environment
Hands-on knowledge of SQL and Python for querying, automation, and analytics
Experience designing and managing data pipelines, database workflows, and structured data warehouses
Demonstrated leadership in managing multiple data verticals and mid-sized teams (25+ people)
Strong experience with LinkedIn Sales Navigator and other tools used for contact discovery and prospect research
Deep understanding of how data operations support sales, marketing, and client success in a high-velocity campaign model
Analytical mindset with high attention to detail and comfort working with large, dynamic datasets
Excellent communication skills and ability to coordinate with technical and non-technical stakeholders
Self-motivated, process-oriented, and proactive in identifying and solving data challenges at scale
Preferred Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or related fields
Prior experience in lead generation, marketing tech, or data-intensive service delivery domains
Familiarity with cloud-based data systems (e.g., AWS, BigQuery) and BI tools (e.g., Tableau, Power BI)
Exposure to data integration tools, APIs, or CRM syncing
Experience working in high-growth environments or startups
Data Operations Analyst
Posted today
Job Viewed
Job Description
You are a strategic thinker passionate about driving solutions in Market Analytics & Reporting. You have found the right team.
As a Market Analytics & Reporting Professional within our Market Analytics & Reporting Team (MART), you will be responsible for setting and improving our organizational objectives, and ensuring their consistent accomplishment.
Job responsibilities:
Required Qualifications, Capabilities, and Skills:
Preferred Qualifications, Capabilities, and Skills:
Data Operations Analyst
Posted today
Job Viewed
Job Description
Instawork is looking for an experienced and dynamic professional, who can deliver measurable success. Our ideal candidate is highly motivated, an excellent communicator with advanced research experience, can work well within a cooperative and friendly team as well as being able to work on their own initiative. The primary focus of the role is to work with the Sales, Ops & Marketing team to develop and deliver a healthy lead enhancement programme, driving qualified leads into the sales pipeline. The successful candidate must show they have the initiative to impact positive change to add value to our business.
This position will be based out of Instawork’s office in Bangalore and will offer significant opportunities for career progression while working in a fast-paced setup.
Key Responsibilities:
- Demand Generation
- Work on our CRM to update the relevant information of the leads
- To generate lead opportunities using secondary research.
- Manage, nurture and convert leads into sales opportunities.
- Identify strong potential prospects using initiative and creativity.
- Route qualified and appropriate leads to the sales team for further closure.
- Work closely within a small sales & marketing team and develop cooperative working relationships across functions.
- Advanced level research on Google, salesforce and linkedIn.
- Provide accurate and timely information as required to managers and senior management.
- Out reaching accounts using emails and other channels.
- Proficient in the use of social media tools like LinkedIn, Zoominfo, Twitter, Facebook, Instagram etc.
- Adhere to company policies, procedures, culture, and business values.
- Passionate and learn to research about the Hospitality and Light industry
Required Qualification
- Salesforce admin certification
- Bachelor's Degree or equivalent practical experience with a CGPA of 6.5 and above
- Should have good communication skills.
- Strong listening and presentation skills.
- Strong research skills in Google, LinkedIn.
- Salesforce working experience
- 2+ years of working experience in SEO and data research
- Service-oriented with a positive, well-motivated attitude.
- Intermediate to advanced IT skills with knowledge of Microsoft Office, Google Sheets and Social networking tools.
- Good organizational and time management skills with the flexibility to reprioritize as necessary.
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Manager Data Operations
Posted today
Job Viewed
Job Description
At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.
Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.
About Team and role
Looking for a company that inspires passion, courage and imagination, where you can be part of the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to creating an ambitious and inclusive workplace, join eBay – a company you can be proud to be a part of.
The Product Knowledge and Query Science team at eBay is responsible for creating a product catalog for eBay’s huge inventory, while ensuring that this inventory is shown to our buyers in a relevant and efficient way. The team combines top talent in the fields of Engineering, Science, ML and Operational efficiency.
You’ll be embedded in the Product Knowledge org, shaping how we structure and optimize taxonomy, ontology, and catalog data for next-gen search, recommendations, and AI-driven experiences.
This is a high-agency, startup-style role—if you thrive in fast-moving, product-focused environments and love working closely with AI/ML, Product, and Engineering teams, this is for you.
What Will You Do?
You will be part of the Tagging & Editorial Data Operations team, which supports our science teams with high-quality human judgment tagging of dataset. You will be responsible for creating training data for AI models, measuring metrics and performing editorial actions on the data supporting some of eBay’s most innovative experiences. The ideal candidate will have a strong sense of ownership, technical expertise, and a deep understanding of data quality.
What you will accomplish:
Manage the activities and deliveries of teams of data tagging experts
Collaborate with Science & Product teams to formulate guidelines for human judgement work
Be responsible for a large number of run-the-business requests coming from multiplier channels in a global matrix organization
Leverage LLMs for data labeling Solutions – Use prompt engineering techniques to create AI-driven approaches for taxonomy validation, data enrichment, and classification.
Evaluate & Improve AI/ML Models – Develop systematic evaluation frameworks for product knowledge models, embeddings, and semantic search solutions.
Integrate with AI/ML Teams – Work closely with data scientists and engineers to test and refine AI-based classification, search ranking, and recommendation models.
What you will bring:
BA or BS degree
5+ Years of proven experience in program management or operations, particularly within e-commerce or other data-driven environments.
Solid organizational skills with the ability to manage multiple projects simultaneously.
Strong analytical skills with the ability to interpret data
Excellent communication and interpersonal skills, with the ability to effectively collaborate with technical and non-technical stakeholders.
Ability to adapt quickly to changes and drive continuous improvement initiatives.
Experience in developing and implementing operational strategies to enhance efficiency and effectiveness
Product Analytics Attitude – Familiarity with eCommerce search, recommendations, and knowledge graph applications
Strong Communication – Ability to turn complex findings into actionable recommendations for Product, AI, and Engineering teams.
AI/LLM Experience – Hands-on experience with LLMs, prompt engineering
Startup DNA – High agency, thrive in fast-paced, iterative environments with deep cross-functional collaboration.
Why Join Us?
Build the AI-powered future of eCommerce product discovery.
Move fast & own impactful projects in a startup-like, high-agency culture.
Work directly with AI, Data Science, and Product teams to shape taxonomy & ontology strategies.
Get hands-on with AI/ML in a real-world, high-scale environment.
Please see the for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at . We will make every effort to respond to your request for accommodation as soon as possible. View our to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
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