Management Information Systems Specialist (MIS)

The MIS Specialist for Global Delivery Resource Center is responsible for delivering advanced analytics, reporting, and talent market intelligence to support hiring of highly specialized roles such as AI/ML Engineers, Data Scientists, and large-scale data operations teams. This role translates complex recruitment data into actionable insights, enabling faster hiring, better quality of hire, and competitive positioning in the global AI talent market.

Key Responsibilities:

Recruitment Analytics

Analyze hiring funnel metrics for (e.g., sourcing → screening → technical assessment → offer → hire)

Track niche KPIs such as:

• Technical assessment pass rates (e.g., coding, ML, RLHF tasks)
• Offer acceptance rates for scarce talent
• Time-to-fill for critical roles (AI/ML, Data Engineering)

Identify bottlenecks in hiring highly specialized talent

Provide insights to improve hiring speed without compromising quality

Talent Intelligence & Market Research

Conduct deep market research especially on AI/ML talent supply (local vs global)

Benchmark compensation for roles like:

• AI/ML Engineers
• Data Scientists
• RLHF Specialists / Prompt Engineers

Analyze competitor hiring trends (e.g., hiring locations, remote strategies, rate cards)

Map talent hotspots (e.g., Philippines, India, Eastern Europe, LATAM)

Track emerging skills (e.g., Reinforcement Learning from Human Feedback, LLM fine-tuning, data labeling at scale)

Advanced Reporting & Dashboarding

Build and maintain dashboards for:

• hiring pipelines
• Recruiter productivity for niche roles
• Source effectiveness (GitHub, Kaggle, LinkedIn, niche communities)

Automate reports using Power BI / Tableau / Excel / SQL

Create executive-level insights for leadership on hiring performance

Data Management & Systems Optimization

Consolidate data from ATS, coding platforms, assessment tools, and external sources

Ensure clean, structured datasets for hiring analytics

Improve tracking of technical evaluation stages (e.g., coding tests, ML case studies)

Support integration of recruitment systems with analytics tools

Strategic Workforce Planning Support

Build supply-demand models for AI/Data talent

Support decisions on:

• Build vs buy vs outsource talent strategies
• Remote vs onsite hiring models
• Contractor vs FTE mix

Provide insights for scaling high-volume data operations teams

Stakeholder Engagement

Partner with GDRC team

Translate technical hiring data into clear, actionable insights

Support strategic hiring reviews and planning sessions

Qualifications

Education

Bachelor's degree in Data Analytics, Statistics, Computer Science, Information Systems, or related field

Experience

• 3–6 years in MIS, data analytics, or reporting
• At least 2–3 years supporting Recruitment Analytics, ideally for tech, AI, or high-volume ITBPM hiring
• Exposure to AI/Data roles hiring or market research is highly preferred

Technical Skills

Advanced Excel (Power Query, modeling, dashboards)

Strong experience with Power BI / Tableau

Working knowledge of SQL

Familiarity with ATS platforms and coding assessment tools

Understanding of AI/Data roles and hiring workflows (nice to have):

o ML pipelines

o Data annotation / labeling workflows

o LLM-related roles

Core Competencies

· Strong analytical and critical thinking skills

· Ability to work with both technical and non-technical stakeholders

· High attention to detail and data integrity

· Strong data storytelling and visualization skills

· Proactive, problem-solving mindset

Key Metrics for Success

· Reduction in time-to-fill for AI/Data roles

· Improvement in technical assessment pass rates

· Increased offer acceptance rates for niche talent

· Accuracy and adoption of AI hiring dashboards

· Quality of market intelligence influencing hiring strategy