Senior Manager - Business Operations
- Info Edge
- 7 - 10 years
- Noida, Gurugram
- 28 days ago
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Job Description
Role Overview:
We are looking for a Senior Manager Taxonomy Operations to lead and scale our taxonomy team, responsible for maintaining and optimizing the taxonomy health across critical entities like colleges, companies, skills, job titles/designations, and more. Your mission will be to improve data quality, reduce long-tail free text entries, and increase fill rates from job seekers selecting structured values from our master datasets.
You will own the roadmap for taxonomy enrichment, identify gaps, and develop scalable and automated strategies to ensure high coverage, accuracy, and completeness across the platform.
Key Responsibilities:
Platform Health & Taxonomy Coverage
- Own and manage master taxonomies across key entities (colleges, companies, skills, designations, etc.).
- Ensure comprehensive coverage and alignment of taxonomy with industry standards and platform needs.
- Monitor and improve taxonomy fill rates across the job seeker funnel.
- Identify and reduce free-text long tail entries by driving structured value adoption.
Data Quality & User Behavior Insights
- Analyze user input patterns to identify areas where structured selections are underutilized.
- Design interventions to nudge job seekers towards selecting from taxonomy masters.
- Collaborate with product and UX teams to improve UI/UX for better taxonomy adoption.
Automation & Operational Scaling
- Develop automated pipelines for deduplication, clustering, synonym resolution, and enrichment.
- Ensure regular feedback is shared with the data science team for improving the prediction
- Build tools and dashboards to empower taxonomy analysts with faster and more accurate workflows.
Cross-Functional Collaboration
- Work closely with product, engineering, data science, and operations teams to integrate taxonomy logic across the platform.
- Partner with marketing and B2B teams to ensure taxonomy supports business needs and campaigns.
Team Leadership & Strategy
- Build, lead, and mentor a team of taxonomy analysts and specialists.
- Define OKRs and drive execution against operational targets and strategic goals.
Success Metrics (KPIs):
- Fill Rate Improvement: % increase in structured field selection by job seekers (target: +1520% YoY).
- Longtail Reduction: % reduction in unique free-text values across key entities (target: -30% YoY).
- Coverage Ratio: % of platform-wide records successfully mapped to taxonomy masters (target: >95%).
- Automation Efficiency: % of taxonomy tasks automated vs. manual (target: >70% automated).
- Turnaround Time (TAT): Reduction in time to resolve taxonomy gaps or integrate new terms.
- Precision/Recall in normalization and classification pipelines (>95%).
Required Skills and Experience:
- 710 years of experience in taxonomy/ontology management, data operations, or structured data systems.
- Experience working with recruitment/job platforms, e-commerce, or content-heavy platforms preferred.
- Strong analytical mindset with hands-on experience in data cleaning, clustering, and classification.
- Knowledge in Open AI, SQL, Python, or relevant scripting languages.
- Strong project management and stakeholder collaboration skills.
- Demonstrated ability to scale systems and teams.
Job Classification
Industry: InternetFunctional Area / Department: Customer Success, Service & OperationsRole Category: OperationsRole: Operations ManagerEmployement Type: Full timeContact Details:
Company: Info EdgeLocation(s): Noida, Gurugram
Keyskills: data operations senior management project management python analytical e kpi tat business analysis process improvement taxonomy monitoring content sql marketing operations management recruitment collaboration operational excellence business operations ontology open
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