Strategy Manager at Kiara Global Services · Remote, Delhi · 5 - 8 years · ₹12L - ₹18L / yr · Bootstrapped · Remote friendly · Posted 10 Jan 2025

Pls Contact to sairam.akirala
@
kiaraglobalservices.com
798
981 217 8
Location: New Delhi or Remote
Qualifications:
Education: Bachelor’s degree in Business Administration, AI/ML, Data Science, or a related field; MBA preferred.
Experience: Minimum of 5+ years of experience in strategic planning, business development, or operations management, preferably in the AI, IT, or outsourcing industry.
Skills:
- Strong analytical and problem-solving skills.
- Proven ability to craft actionable strategies backed by data-driven insights.
- Excellent communication and stakeholder management abilities.
- Solid leadership experience in managing teams and cross-functional projects.
Technical Knowledge: Understanding of AI, machine learning, and data annotation processes is a strong advantage. Proficiency in tools like Excel, PowerPoint, and data visualization software is required.
Preferred Qualifications:
- Experience in AI-related industries, including data collection, annotation, transcription, or localization.
- Proven track record of driving strategic initiatives that delivered tangible business results.
- Familiarity with global markets and managing offshore teams
Key Responsibilities:
- Strategic Planning
- Market Insights
- Client Growth Strategy
- Operational Optimization
- Performance Tracking
- Revenue and Cost Management
- Innovation Leadership

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About Antier
Antier is a global technology company specializing in Artificial Intelligence, Blockchain, Digital Assets, Tokenization, Enterprise Platforms, and other emerging technologies. As we continue to expand our global presence and solution portfolio, we are strengthening our Corporate Strategy function to identify new opportunities, anticipate market shifts, and enable sustainable business growth.
Position Overview
We are looking for a highly analytical and commercially driven strategy professional with a strong background in strategic market research, business analysis, and corporate strategy to join our Corporate Strategy team.
In this role, you will evaluate markets, emerging technologies, customer needs, competitors, and industry trends to identify opportunities that support Antier's growth strategy. Your work will contribute to strategic planning, market expansion, product strategy, business investments, partnerships, and long-term business priorities.
The ideal candidate enjoys solving complex business problems through structured thinking, research, and commercial analysis, and can translate insights into practical recommendations that create measurable business value.
Key Responsibilities
Corporate Strategy
- Support the evaluation and execution of strategic business initiatives and long-term growth priorities.
- Develop business cases for new products, services, markets, partnerships, and strategic investments.
- Contribute to annual strategic planning and corporate growth initiatives.
- Assess strategic opportunities and recommend priorities based on market potential, commercial viability, and business impact.
Strategic Market Research
- Conduct in-depth market research across Artificial Intelligence, Blockchain, Web3, Enterprise Software, FinTech, Digital Assets, Digital Identity, Cybersecurity, and adjacent technology sectors.
- Evaluate market opportunities using structured analytical frameworks, including market sizing, customer segmentation, competitive assessment, and commercial viability analysis.
- Monitor technology adoption, customer demand, investment activity, regulatory developments, and macroeconomic trends.
- Identify emerging trends, unmet customer needs, and future market opportunities that can influence Antier's business strategy.
- Design and execute structured primary and secondary research methodologies using credible industry sources and AI-powered research tools.
Competitive Intelligence
- Build and maintain a structured competitive intelligence framework.
- Benchmark competitors across products, services, pricing, positioning, business models, partnerships, and go-to-market strategies.
- Track product launches, funding activity, mergers & acquisitions, technology innovation, and market movements.
- Identify competitive risks, market gaps, and opportunities for strategic differentiation.
Growth Strategy & Portfolio Evaluation
- Assess the commercial potential of existing and emerging business opportunities.
- Evaluate product-market fit, commercialization models, pricing strategies, and revenue potential.
- Identify opportunities for innovation, diversification, and market expansion.
- Recommend portfolio priorities based on strategic alignment and long-term business value.
Executive Decision Support
- Prepare executive presentations, strategic reports, business cases, and leadership briefings.
- Translate complex research into concise, actionable business insights.
- Present findings with clear recommendations, risks, opportunities, and expected business outcomes.
- Support cross-functional strategic initiatives through data-driven analysis.
Strategic Research
- Design and execute structured primary and secondary research methodologies.
- Leverage industry reports, analyst research, customer insights, financial information, public data, and AI-powered research tools.
- Ensure research outputs are accurate, commercially relevant, and aligned with business objectives.
Strategic Questions You'll Help Answer
Your work will contribute to answering strategic questions such as:
- Which industries, markets, and customer segments present the strongest growth opportunities?
- Which emerging technologies and industry trends are most relevant to Antier's long-term strategy?
- Which products, services, or capabilities should be prioritized, expanded, or refined?
- Which geographies and industry verticals offer the greatest potential for business expansion?
- How is the competitive landscape evolving, and how should Antier respond?
- Which strategic partnerships or ecosystem opportunities could accelerate growth?
- What market, customer, or regulatory shifts could impact future business opportunities?
- How can market intelligence be leveraged to support strategic planning and sustainable business growth?
Candidate Profile
We are looking for someone who combines analytical thinking with strong commercial judgment.
The ideal candidate is intellectually curious, enjoys solving ambiguous business challenges, and can connect market insights with strategic business decisions. They should be comfortable working across multiple business functions, synthesizing large volumes of information, and presenting recommendations in a clear, structured, and executive-friendly manner.
Qualifications
- MBA or Postgraduate Degree in Strategy, Finance, Business Analytics, Economics, Marketing, or a related discipline from a reputed institution.
- Bachelor's degree in Engineering, Technology, Business, Economics, or a related field.
Experience
- 5–10 years of experience in Strategic Market Research, Corporate Strategy, Market Intelligence, Management Consulting, Strategic Planning, Business Research, or Growth Strategy.
- Experience in Strategy, Advisory, Market Research, or Growth Consulting within leading consulting firms such as KPMG, McKinsey & Company, Boston Consulting Group (BCG), etc or comparable strategy-focused organizations will be highly preferred.
- Experience supporting executive leadership, Corporate Strategy teams, or the CEO's Office functions will be an advantage.
Core Competencies
- Strategic Market Research
- Corporate Strategy
- Market Intelligence
- Competitive Intelligence
- Growth Strategy
- Strategic Planning
- Business Case Development
- Commercial Analysis
- Financial Analysis
- Product & Portfolio Strategy
- Executive Communication
- Stakeholder Management
- Structured Problem Solving
- Data-Driven Decision Making
Preferred Skills
- Advanced Microsoft Excel for business analysis, financial modelling, and scenario planning.
- Advanced Microsoft PowerPoint for executive presentations and strategic communication.
- Strong expertise in market research, opportunity assessment, commercial analysis, and business case development.
- Ability to leverage AI-powered research and productivity tools to accelerate research, analysis, and strategic decision support.
- Excellent analytical, written, verbal, and presentation skills with the ability to communicate complex ideas clearly.
Success Measures
Success in this role will be measured by the ability to:
- Deliver research-backed insights that support strategic business decisions.
- Identify high-impact growth opportunities and emerging market trends.
- Strengthen Antier's competitive positioning through actionable market and competitive intelligence.
- Support product, portfolio, and market expansion initiatives with evidence-based recommendations.
- Deliver high-quality strategic analysis that contributes to sustainable business growth.
Why Join Antier?
This role offers the opportunity to contribute to high-impact strategic initiatives that shape Antier's future. You will gain exposure to emerging technologies, global markets, corporate strategy, and business transformation while working on initiatives that create long-term business value.
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Role Overview
As a Data Scientist, you will work with business stakeholders, AI engineers, and domain experts to transform data into actionable insights and intelligent solutions. You will develop machine learning models, perform statistical analysis, and contribute to AI-driven products that create measurable business impact.
Key Responsibilities
Data Science & Machine Learning
- Analyze structured and unstructured data to identify patterns, trends, and business opportunities.
- Perform exploratory data analysis (EDA), feature engineering, and data preparation.
- Develop, evaluate, and optimize machine learning models for prediction, classification, clustering, and forecasting.
- Apply statistical techniques to solve business problems and validate model performance.
- Design and execute experiments to improve model accuracy and business outcomes.
AI Solution Development
- Collaborate with AI Engineers, Data Engineers, and domain experts to build AI-powered solutions.
- Translate business requirements into scalable data science approaches.
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- Document methodologies, model performance, and key findings.
Required Technical Skills
- Strong programming skills in Python and SQL for data analysis, feature engineering, and machine learning.
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- Experience with Exploratory Data Analysis (EDA), data preprocessing, feature engineering, feature selection, and handling missing or imbalanced data.
- Good understanding of Supervised, Unsupervised, and Ensemble Machine Learning algorithms, including their assumptions, strengths, limitations, and appropriate use cases.
- Strong knowledge of Regression, Classification, Clustering, Time Series Forecasting, Dimensionality Reduction, Recommendation Systems, and Anomaly Detection techniques.
- Experience with Model Evaluation, Cross-Validation, Hyperparameter Optimization, Bias-Variance Trade-off, Feature Importance, Explainable AI (XAI), and Performance Metrics.
- Understanding of Statistical Inference, Hypothesis Testing, Probability Distributions, Sampling Techniques, Confidence Intervals, and A/B Testing.
- Experience translating business problems into analytical approaches and developing scalable, data-driven solutions.
- Working knowledge of Generative AI, Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG) is preferred.
Preferred Qualifications
- Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, Statistics, Mathematics, Engineering, or a related field.
- 2–4 years of experience developing machine learning or data science solutions.
- Experience working on end-to-end data science projects in a business environment.
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- Knowledge of construction, engineering, manufacturing, or industrial domains.
- Participation in hackathons, research, Kaggle competitions, or open-source projects.
Soft Skills
Strong analytical and problem-solving skills, effective communication and collaboration, ownership mindset, adaptability, continuous learning, and a passion for innovation.
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