Competitive Strategist
IBM
Competitive Strategist
Job Description
Competitive Strategist
📋 Job Overview
The Competitive Strategist at IBM Data Platform will support the team by researching market trends, tracking competitor moves, and developing strategic insights to guide IBM's portfolio direction. This role involves collaboration with cross-functional teams to maintain competitive intelligence assets and contribute to market analysis, focusing on enterprise data platforms, AI services, governance, and integration.
📍 Location: Multiple Locations (Remote/Hybrid)
💼 Career Level: Entry Level
🎯 Key Responsibilities
- Assist in researching trends across enterprise data platforms, AI services, governance frameworks, and integration tooling
- Monitor competitor strategies, regulatory developments, and industry standards impacting data and AI adoption
- Help develop and maintain strategic assets such as capability maps, market scans, and trend reports
- Support cross-functional collaboration by sharing insights with Product Management, Engineering, Legal, and Marketing teams
- Contribute to portfolio planning discussions by providing data-driven inputs and preliminary analysis
- Prepare presentations and summaries for internal stakeholders to foster awareness and informed decision-making
✅ Required Qualifications
- Bachelor’s degree in Business, Technology, or related field
- 0-1 year of experience in product strategy, market research, or competitive intelligence
- Familiarity with concepts spanning data platforms, AI lifecycle management, and governance
- Strong research and synthesis skills, with the ability to organize and present findings clearly
- Excellent written and verbal communication skills
- Self-starter with curiosity and eagerness to learn about data and AI strategy
⭐ Preferred Qualifications
- Master’s degree in Business, Computer Science, Engineering, or related field
- 1+ year of experience in product strategy, market research, or competitive intelligence within enterprise software or AI/data space
- Experience with enterprise AI or data platforms (e.g., IBM watsonx, Snowflake, Databricks, Azure, AWS)
- Exposure to governance and compliance tooling
🛠️ Required Skills
- Research skills
- Synthesis skills
- Presentation skills
- Written communication
- Verbal communication
- Data platforms knowledge
- AI lifecycle management
- Governance concepts
- Curiosity
- Eagerness to learn
🎁 Benefits & Perks
- Opportunity to learn and develop career
- Encouragement to be courageous and experiment
- Continuous trust and support in an inclusive environment
- Growth-minded culture with openness to feedback and learning
- Collaboration with colleagues for exceptional customer outcomes
- Equal-opportunity employment
- Commitment to fair employment practices
Locations
- Multiple Locations, India (Remote)
Salary
Estimated Salary Rangemedium confidence
800,000 - 1,500,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Research skillsintermediate
- Synthesis skillsintermediate
- Presentation skillsintermediate
- Written communicationintermediate
- Verbal communicationintermediate
- Data platforms knowledgeintermediate
- AI lifecycle managementintermediate
- Governance conceptsintermediate
- Curiosityintermediate
- Eagerness to learnintermediate
Required Qualifications
- Bachelor’s degree in Business, Technology, or related field (experience)
- 0-1 year of experience in product strategy, market research, or competitive intelligence (experience)
- Familiarity with concepts spanning data platforms, AI lifecycle management, and governance (experience)
- Strong research and synthesis skills, with the ability to organize and present findings clearly (experience)
- Excellent written and verbal communication skills (experience)
- Self-starter with curiosity and eagerness to learn about data and AI strategy (experience)
Preferred Qualifications
- Master’s degree in Business, Computer Science, Engineering, or related field (experience)
- 1+ year of experience in product strategy, market research, or competitive intelligence within enterprise software or AI/data space (experience)
- Experience with enterprise AI or data platforms (e.g., IBM watsonx, Snowflake, Databricks, Azure, AWS) (experience)
- Exposure to governance and compliance tooling (experience)
Responsibilities
- Assist in researching trends across enterprise data platforms, AI services, governance frameworks, and integration tooling
- Monitor competitor strategies, regulatory developments, and industry standards impacting data and AI adoption
- Help develop and maintain strategic assets such as capability maps, market scans, and trend reports
- Support cross-functional collaboration by sharing insights with Product Management, Engineering, Legal, and Marketing teams
- Contribute to portfolio planning discussions by providing data-driven inputs and preliminary analysis
- Prepare presentations and summaries for internal stakeholders to foster awareness and informed decision-making
Benefits
- general: Opportunity to learn and develop career
- general: Encouragement to be courageous and experiment
- general: Continuous trust and support in an inclusive environment
- general: Growth-minded culture with openness to feedback and learning
- general: Collaboration with colleagues for exceptional customer outcomes
- general: Equal-opportunity employment
- general: Commitment to fair employment practices
Tags & Categories
Competitive Strategist
IBM
Competitive Strategist
Job Description
Competitive Strategist
📋 Job Overview
The Competitive Strategist at IBM Data Platform will support the team by researching market trends, tracking competitor moves, and developing strategic insights to guide IBM's portfolio direction. This role involves collaboration with cross-functional teams to maintain competitive intelligence assets and contribute to market analysis, focusing on enterprise data platforms, AI services, governance, and integration.
📍 Location: Multiple Locations (Remote/Hybrid)
💼 Career Level: Entry Level
🎯 Key Responsibilities
- Assist in researching trends across enterprise data platforms, AI services, governance frameworks, and integration tooling
- Monitor competitor strategies, regulatory developments, and industry standards impacting data and AI adoption
- Help develop and maintain strategic assets such as capability maps, market scans, and trend reports
- Support cross-functional collaboration by sharing insights with Product Management, Engineering, Legal, and Marketing teams
- Contribute to portfolio planning discussions by providing data-driven inputs and preliminary analysis
- Prepare presentations and summaries for internal stakeholders to foster awareness and informed decision-making
✅ Required Qualifications
- Bachelor’s degree in Business, Technology, or related field
- 0-1 year of experience in product strategy, market research, or competitive intelligence
- Familiarity with concepts spanning data platforms, AI lifecycle management, and governance
- Strong research and synthesis skills, with the ability to organize and present findings clearly
- Excellent written and verbal communication skills
- Self-starter with curiosity and eagerness to learn about data and AI strategy
⭐ Preferred Qualifications
- Master’s degree in Business, Computer Science, Engineering, or related field
- 1+ year of experience in product strategy, market research, or competitive intelligence within enterprise software or AI/data space
- Experience with enterprise AI or data platforms (e.g., IBM watsonx, Snowflake, Databricks, Azure, AWS)
- Exposure to governance and compliance tooling
🛠️ Required Skills
- Research skills
- Synthesis skills
- Presentation skills
- Written communication
- Verbal communication
- Data platforms knowledge
- AI lifecycle management
- Governance concepts
- Curiosity
- Eagerness to learn
🎁 Benefits & Perks
- Opportunity to learn and develop career
- Encouragement to be courageous and experiment
- Continuous trust and support in an inclusive environment
- Growth-minded culture with openness to feedback and learning
- Collaboration with colleagues for exceptional customer outcomes
- Equal-opportunity employment
- Commitment to fair employment practices
Locations
- Multiple Locations, India (Remote)
Salary
Estimated Salary Rangemedium confidence
800,000 - 1,500,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Research skillsintermediate
- Synthesis skillsintermediate
- Presentation skillsintermediate
- Written communicationintermediate
- Verbal communicationintermediate
- Data platforms knowledgeintermediate
- AI lifecycle managementintermediate
- Governance conceptsintermediate
- Curiosityintermediate
- Eagerness to learnintermediate
Required Qualifications
- Bachelor’s degree in Business, Technology, or related field (experience)
- 0-1 year of experience in product strategy, market research, or competitive intelligence (experience)
- Familiarity with concepts spanning data platforms, AI lifecycle management, and governance (experience)
- Strong research and synthesis skills, with the ability to organize and present findings clearly (experience)
- Excellent written and verbal communication skills (experience)
- Self-starter with curiosity and eagerness to learn about data and AI strategy (experience)
Preferred Qualifications
- Master’s degree in Business, Computer Science, Engineering, or related field (experience)
- 1+ year of experience in product strategy, market research, or competitive intelligence within enterprise software or AI/data space (experience)
- Experience with enterprise AI or data platforms (e.g., IBM watsonx, Snowflake, Databricks, Azure, AWS) (experience)
- Exposure to governance and compliance tooling (experience)
Responsibilities
- Assist in researching trends across enterprise data platforms, AI services, governance frameworks, and integration tooling
- Monitor competitor strategies, regulatory developments, and industry standards impacting data and AI adoption
- Help develop and maintain strategic assets such as capability maps, market scans, and trend reports
- Support cross-functional collaboration by sharing insights with Product Management, Engineering, Legal, and Marketing teams
- Contribute to portfolio planning discussions by providing data-driven inputs and preliminary analysis
- Prepare presentations and summaries for internal stakeholders to foster awareness and informed decision-making
Benefits
- general: Opportunity to learn and develop career
- general: Encouragement to be courageous and experiment
- general: Continuous trust and support in an inclusive environment
- general: Growth-minded culture with openness to feedback and learning
- general: Collaboration with colleagues for exceptional customer outcomes
- general: Equal-opportunity employment
- general: Commitment to fair employment practices
Tags & Categories