Product Manager

TechX is a trailblazer in cloud computing and data analytics, dedicated to empowering businesses in the banking, financial services, and enterprise sectors. Our flagship product, XData, revolutionizes data analytics by delivering advanced insights and innovative solutions that drive impactful outcomes

*** Role Overview**:
**Key Responsibilities**:
**Roadmap Development & Alignment**:

- Create and manage a detailed product roadmap, aligning AI model development and business priorities to ensure maximum impact.
- Collaborate closely with stakeholders to understand business needs and translate them into actionable AI use cases.

**AI & Business Strategy Integration**:

- Work closely with data scientists, AI engineers, and business teams to ensure AI models are aligned with current and future business requirements.
- Identify key business metrics and prioritize AI initiatives that will drive business outcomes, such as improved customer engagement, operational efficiency, and new revenue streams.

**Use Case Prioritization**:

- Evaluate and prioritize AI use cases based on potential business impact, scalability, and feasibility, ensuring that high-impact solutions are developed first.
- Establish clear metrics to measure the success of AI projects, ensuring alignment with business goals.

**Scalable Development**:

- Oversee the structured development process, ensuring that individual components (such as AI models or APIs) are reusable across multiple projects.
- Collaborate with technical teams to ensure AI solutions are scalable and can be easily adapted for future business needs.

**Cross-Functional Collaboration**:

- Serve as a liaison between business stakeholders and AI development teams, fostering a shared understanding of project goals and timelines.
- Lead regular meetings with stakeholders to review progress, update the roadmap, and address any alignment issues.

**Project Management & Execution**:

- Ensure that all AI projects are executed on time and within budget, maintaining clear communication channels and tracking deliverables.
- Implement Agile methodologies to manage development cycles and iterations.

**Market & Competitor Analysis**:

- Stay up-to-date with industry trends, AI advancements, and competitor strategies to continuously refine the product roadmap.
- Identify new AI technologies and trends that can be leveraged for business growth.

**Skills & Qualifications**:

- **Experience in AWS**: Foundational knowledge of AWS services and some hands-on experience in implementing basic cloud solutions (e.g., EC2, S3, RDS, Lambda).
- **Data Analytics Understanding**: Some experience with data analytics workflows, data pipelines, or cloud-based data storage.
- **Good Communication Skills**: Ability to effectively communicate technical concepts to non-technical stakeholders and work well within a team.
- **Problem-Solving Ability**: Strong analytical thinking and the ability to assist in designing solutions based on client requirements.
- **Eagerness to Learn**: Enthusiastic about developing skills in cloud architecture, AWS, and data analytics.

**Preferred Qualifications**:

- Familiarity with AWS tools like **Redshift**, **Athena**, and **Glue** is a plus.
- AWS certification such as **AWS Certified Solutions Architect - Associate** or willingness to obtain certification within the first year of employment.

**What We Offer**:

- **Innovative Environment**: A dynamic and collaborative work environment where innovation is encouraged.
- **Professional Growth**: Opportunities for professional growth and development through continuous learning and exposure to cutting-edge technologies.
- **Competitive Package**: Competitive salary and benefits package
- **Impactful Work**: The chance to work on cutting-edge projects with industry-leading clients, making a tangible impact on their business success.

**Join Our Team**:
If you are ready to make an impact and drive meaningful outcomes, we invite you to join us on this exciting journey.