
Qualifications
• Education:
• Bachelors or equivalent experience in Computer Science, Software Engineering, or a related field preferable.
Technical Skills:
• Proficiency in data analysis tools (e.g., Excel, Tableau, Power BI) and CRM platforms
• Expertise in financial modeling, forecasting and planning
• Advanced knowledge of strategy frameworks (e.g., SWOT, PESTEL, Porter’s Five Forces).
• Competence in business intelligence tools and scenario planning.
• Professional Experience:
• 9-10 years of experience in business strategy, management consulting, or a similar role
• Proven track record of designing and implementing successful business strategies
• Experience in leading high-stakes projects and managing cross-functional teams.
• Background in scaling operations or expanding into new markets.
• Exposure to diverse industries or global market environments.
• Experience with Agile and Scrum methodologies and the ability to work in multi-functional teams.
Soft Skills:
• Analytical Thinking: Ability to synthesize complex data into actionable insights.
• Problem-Solving: Innovative approach to overcoming business challenges.
• Leadership: Strong capability to influence and lead teams toward common objectives.
• Communication: Excellent verbal and written communication skills, capable of engaging with stakeholders at all levels.
• Adaptability: Comfort in navigating ambiguity and adjusting strategies as needed.
• Collaboration: Strong interpersonal skills to build relationships across departments and external partners.
• Time Management: Expertise in prioritizing tasks and managing tight deadlines.
Job Description
Responsibilities
• Develop and implement strategic plans to drive adoption of Adobe Digital Media solutions across enterprise customers, ensuring alignment with organizational goals and improving value realization.
• Collaborate with key collaborators to identify growth opportunities, analyze usage trends, and implement targeted initiatives to enhance engagement and success metrics within customer organizations.
• Develop, implement, and manage comprehensive business strategies that align with organizational goals and market demands.
• Conduct market research and competitive analysis to identify growth opportunities and potential risks.
• Monitor key performance indicators (critical metrics) to evaluate the success of strategies and recommend adjustments as needed.
• Identify inefficiencies within business operations and propose solutions to streamline processes.
• Work closely with senior leadership to define and prioritize critical initiatives.
• Collaborate with cross-functional teams (marketing, sales, operations, finance) to implement strategies effectively.
• Stay updated on industry trends, emerging technologies, and market shifts to provide actionable insights.
• Identify and evaluate new business models and revenue streams.
• Communicate and coordinate well with Customer team members as well as consultants and managers

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Note:
Send Your Resume Gmail: abhidayani01g_mail.com
Expert in Machine Learning (ML) & Natural Language Processing (NLP).
Expert in Python, Pytorch and Data Structures.
Experience in ML model life cycle (Data preparation, Model training and Testing and ML Ops).
Strong experience in NLP, NLU and NLU using transformers & deep learning.
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Experience with knowledge graphs and ontology.
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Experience working with scalable, highly-interactive, high-performance systems/projects (ML).
Design, code, test, debug and document programs as well as support activities for the corporate systems architecture.
Working closely with business partners in defining requirements for ML applications and advancements of solution.
Engage in specifications in creating comprehensive technical documents.
Experience / Knowledge in designing enterprise grade system architecture for solving complex problems with a sound understanding of object-oriented programming and Design Patterns.
Experience in Test Driven Development & Agile methodologies.
Good communication skills - client facing environment.
Hunger for learning, self-starter with a drive to technically mentor cohort of developers. 16. Good to have working experience in Knowledge Graph based ML products development; and AWS/GCP based ML services.










