Tn Mining engineering Jobs – 110 Open Jobs Today

Assistant Vice President
EXL Service —Chennai, Tamil Nadu
- Full-time
- Azure
- Engineering
- Master's degree
CyberArk SME L3 Engineer IAM, IGA & PAM
UST —Chennai, Tamil Nadu
- Azure
- Oracle
- Salesforce
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10d
Data Science Engagement Lead
Shell —Chennai, Tamil Nadu
- Full-time
- Azure
- Salesforce
- Master's degree
Sr ML and AI (Legacy) - Chennai
Photon —Chennai, Tamil Nadu
- Doctoral degree
- Computer Science
- Bachelor's degree
Manager/ Sr. Manager - Sales
Desirous Global Consulting —Chennai, Tamil Nadu
- ₹12 - ₹17 an hour
- Full-time
Sr. Process Mining Analyst 4B
Genpact India Pvt. Ltd. —Chennai, Tamil Nadu
- Full-time
- Hybrid work
- Azure
- Oracle
- Computer Science
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5h

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CyberArk SME L3 Engineer IAM, IGA & PAM
UST —Chennai, Tamil Nadu
Participate in major incident management, change implementation, platform maintenance, and on-call support. This role requires providing L3 support, platform…
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10d

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Assistant Vice President

EXL Service -
Chennai, Tamil Nadu

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Job details

Full-time

Qualifications

Azure
Data mining
Statistics
Law
SAS
Engineering
Maths
Master's degree
SQL
AWS
Natural language processing
Agile
Data science
AI
MBA
Leadership
Communication skills
Python
Data Science
Analytics

Full job description

Job Description: Lead the operational analytics function at a strategic level. Partner with executives to guide decision-making and ensure continuous operational efficiency improvements across the business.

We are seeking a strategic and highly driven AVP of Analytics Transformation & Advisory to lead a multi-dimensional organization in Healthcare Payment Integrity. You will operate at the intersection of business strategy and advanced analytics, consulting directly with C-suite executives at major payers and providers. Your mandate is to reduce provider abrasion, optimize provider engagement, and spearhead highly scalable, innovative solutions that directly impact the bottom line.

Responsibilities: Lead operational analytics strategy across the organization. Guide executive decision-making. Ensure continuous operational improvements.

1. Strategic Transformation & Advisory

Executive Consulting: Serve as the primary Transformation & Advisory leader, consulting with senior client stakeholders to define roadmaps, identify revenue remediation opportunities, and design enterprise-level data solutions.
Business Growth & P&L Impact: Drive overarching business metrics that significantly add to the top-line and profitability. Own the ROI frameworks for EXL’s revenue optimization business.
Next-Gen Capability Building: Champion the integration of state-of-the-art technologies into the analytics lifecycle. Pioneer the adoption of advanced frameworks, including Agentic AI and LLM agents, to automate complex decision-making and uncover new patterns in structured and unstructured data.

2. Delivery & Operations Management

Outcomes-Driven Leadership: Maintain overall accountability for the Payment Integrity KPIs. Ensure the organization consistently meets commission-based revenue targets through meticulous operational excellence.
Risk & Strategy Steerage: Proactively identify risks to business KPIs and pivot strategies using advanced data science, predictive analytics, and deep-dive quantitative methodologies.
Portfolio Oversight: Oversee a massive, multi-dimensional analytics portfolio, including Production Analytics (Rules & Model runs for 5+ enterprise clients), Shared R&D/Data Mining, ML/NLP development, and end-to-end Operational Analytics.

3. Talent & Stakeholder Management

Organizational Leadership: Direct, mentor, and scale a high-performing organization of data analysts, scientists, and team managers. Define hiring strategies, career pathing, and attrition management.
Cross-Functional Synergy: Build strategic relationships across global teams, onshore counterparts, and internal technology/platform teams. Centralize and prioritize enterprise requirements to ensure seamless delivery.
Change Management: Translate complex data insights into compelling business narratives, enabling smooth change management and adoption among key client stakeholders.

Qualifications: Bachelor�s or Master's degree in Business, Data Science, Operations, or related field. 8-12 years of experience in operational analytics or business analytics.

The ideal candidate is a seasoned leader with 15+ years of overall experience in analytics delivery, strategy, and enterprise consulting.

Leadership Experience: 10+ years of experience leading large-scale analytics organizations, creating enterprise solutions, and defining strategic roadmaps.
Consulting Pedigree: 8+ years of experience preferably from top-tier Analytics/Consulting firms (e.g., MathCompany, Tredence, Mu Sigma, Tiger Analytics, LatentView, Big 4).
Domain Expertise: Deep understanding of the US Healthcare value chain (Payers and Providers). Candidates with proven experience solving complex healthcare data and payment integrity problems are highly preferred (e.g., Optum, Truven/IBM, Cognizant Healthcare Payer, Sagitec).
Education: MBA from a Top-Tier B-school strongly preferred, or an advanced degree in Engineering, Mathematics, Statistics, Operations Research, or Finance.

Core Skillsets & Competencies

Advanced Analytics Mastery: Deep understanding of analytics levers (SQL rules, ML pipelines, NLP automation, optimization, and Agentic workflows).
Technical Fluency: Strategic command over modern tech stacks (AWS/Azure, Databricks, Python, SAS) and digital frameworks to guide technical teams effectively.
Commercial Acumen: Exceptional ability to translate ambiguous business problems into structured technical solutions that yield measurable financial ROI.
Executive Communication: Flawless written and verbal communication, with the ability to storyboard complex analytical concepts for non-technical executive audiences.
Agile Leadership: Proven ability to thrive in a fast-paced, high-stakes environment, managing multiple concurrent enterprise initiatives while fostering a collaborative, high-performance culture.

Apply Now

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mining engineering jobs in tn

Assistant Vice President

CyberArk SME L3 Engineer IAM, IGA & PAM

Data Science Engagement Lead

Sr ML and AI (Legacy) - Chennai

Manager/ Sr. Manager - Sales

Sr. Process Mining Analyst 4B

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