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Associate Process Manager (Process Excellence)
Hyderabad, Telangana, India
- Experience
- 8–15 years
- Employment
- Full-time
- Work mode
- Onsite
- Salary
- ₹5.7 L–11.5 L / year
- Deadline
- Apply by 1 Nov 2026
- Posted
- 2025-04-14
Required skills
| Skill | Experience | Level |
|---|---|---|
| Agile Software Development | 8+ years | 0 |
| Process Excellence | 8+ years | 0 |
| Business Process Modeling | 8+ years | 0 |
| Quality Enhancement | Not specified | 0 |
| Stakeholder Collaboration | Not specified | 0 |
| Innovation | Not specified | 0 |
| Geography | Not specified | 0 |
| Six Sigma | 8+ years | 0 |
| Six-Sigma | 8+ years | 0 |
| Lean Tools | 8+ years | 0 |
| Business Process Reengineering | 8+ years | 0 |
| Kaizen | 8+ years | 0 |
| map data | Not specified | 0 |
| Geospatial | 8+ years | 0 |
| Content Moderator | 8+ years | 0 |
| Data Visualization | 7+ years | 0 |
| Project Management | 8+ years | 0 |
| Leadership | 3+ years | 0 |
| Data Analysis | 8+ years | 0 |
| Automation Process | 8+ years | 0 |
About the role
JOB TITLE: Associate Process Manager (Process Excellence)
LOCATION: Hyderabad
KEY RESPONSIBILITIES:
PROCESS OPTIMIZATION:
- Analyze current workflows and identify areas for improvement to enhance efficiency, accuracy, and scalability.
- Design and implement streamlined processes that align with operational goals and client requirements.
- Introduce automation and tooling improvements to reduce manual effort and increase productivity.
PERFORMANCE MONITORING:
- Establish and monitor Key Performance Indicators (KPIs) to measure the effectiveness of processes.
- Use data analytics to identify trends, bottlenecks, and opportunities for improvement.
- Provide actionable insights to leadership based on performance metrics.
QUALITY ENGANCEMENT:
- Collaborate with quality and operations teams to align process improvements with quality objectives.
- Implement frameworks and best practices to reduce errors, enhance map accuracy, and mitigate map abuse risks.
- Drive initiatives to standardize processes across teams and geographies.
STAKEHOLDER COLLABORATION:
- Partner with internal stakeholders, including operations, quality, and technology teams, to ensure seamless process transitions.
- Act as a liaison between delivery teams and clients to align on process changes and improvements.
- Provide regular updates and detailed reports to stakeholders on process improvement initiatives.
INNOVATION AND AUTOMATION:
- Stay updated on industry trends, tools, and technologies related to map abuse detection and curation.
- Lead the evaluation and implementation of AI/ML models or tools to enhance operational capabilities.
- Drive pilot projects and proof-of-concept initiatives for process innovation.
CHANGE MANAGEMENT:
- Develop change management plans to support the adoption of new processes and tools.
- Train and guide teams on updated workflows, ensuring smooth implementation and adherence.
- Address resistance to change by effectively communicating benefits and addressing concerns.
QUALIFICATIONS:
EDUCATION:
- Bachelor’s degree in Process Management, Operations, Data Analytics, Geography, or a related field.
- Certifications in Lean Six Sigma (Green Belt/Black Belt), Kaizen, or similar methodologies are highly desirable.
EXPERIENCE:
- 8+ years of experience in process improvement, operations, or related domains, with at least 3 years in a leadership role.
- Prior experience in map data, geospatial tools, or content moderation is an advantage.
- Proven track record of leading large-scale process improvement initiatives and delivering measurable results.
SKILLS:
- Expertise in process improvement methodologies (e.g., Lean, Six Sigma).
- Strong analytical and problem-solving skills with proficiency in data visualization tools.
- Excellent communication and stakeholder management abilities.
- Technical acumen with familiarity in automation tools and geospatial technologies is a plus.
- Project management skills, including experience with Agile or other methodologies, are beneficial.
KEY COMPETENCIES:
- Strategic Thinking and Problem-Solving
- Process Optimization and Innovation
- Data-Driven Decision Making
- Collaboration and Stakeholder Engagement
- Leadership and Change Management