What are the responsibilities and job description for the Fintech Product Manager position at Kavyos Consulting?
Position Overview:
We are seeking a highly skilled and experienced Senior AI and Analytics AML Product Manager to join our dynamic team. The successful candidate will play a crucial role in leading the development and execution of our AI and analytics AML products. This individual will work closely with cross-functional teams to define product requirements, drive product development, and ensure successful delivery to market. The Senior AI and Analytics Product Manager will leverage their expertise in machine learning, data analytics, and product management to drive innovation and deliver value to our customers.
This is a customer-facing role that requires regular interaction with financial institutions (FIs), gathering feedback, building relationships, and understanding the challenges and pain points. The role involves travel and deep engagement with customers to align our products with real-world needs. Knowledge of AML and financial crime is critical to succeed in this position.
- Key Responsibilities:Product Strategy and Roadmap Development:
- Lead the development of the AI and analytics AML products and roadmap, aligning with the company's overall vision and objectives.
- Conduct market research and competitive analysis to identify market trends, customer needs, and opportunities for differentiation.
- Define product priorities and initiatives based on customer feedback, business goals, and technical feasibility.
- Product Planning and Execution:
- Collaborate with cross-functional teams including engineering, data science, design, and marketing to define product requirements and specifications.
- Drive the product development process from concept to launch, ensuring timely delivery and adherence to quality standards.
- Manage the product lifecycle, including feature prioritization, release planning, and post-launch performance monitoring.
- AI and Analytics Expertise:
- Apply deep knowledge of machine learning techniques to enhance product capabilities and drive innovation.
- Leverage data analytics and visualization tools to derive insights from large datasets and inform product decisions.
- Stay abreast of advancements in AI technology, industry trends, and best practices to continually improve product offerings.
- Customer Engagement and Feedback:
- Work directly with customers, including banks and financial institutions, to understand their challenges and gather actionable feedback.
- Present product concepts and solutions to customers, aligning product functionality with their needs.
- Travel as needed to meet with customers, participate in industry events, and ensure products address real-world AML scenarios.
- Stakeholder Management:
- Build strong relationships with internal stakeholders, including executives, sales, professional services, and customer success teams, to ensure alignment and support for product initiatives.
- Collaborate with industry experts and partners to validate product concepts and strengthen market positioning.
- Performance Tracking and Optimization:
- Define key performance indicators (KPIs) and metrics to measure the success of AI and analytics products.
- Analyze product performance data, customer feedback, and market trends to identify opportunities for optimization and growth.
- Iterate on product features and functionalities based on insights gained from data analysis and feedback loops.
- Qualifications:Bachelor's or advanced degree in computer science, engineering, data science, or related field.
- 3 years of previous experience in AML products or financial crime detection solutions.
- Proven track record of 7 years in product management, with a focus on SaaS \ machine learning, or analytics products.
- Proven experience working directly with customers, understanding their needs, and presenting product solutions to address those needs.
- Strong knowledge of AML domain, detection techniques, and financial institution challenges.
- Experience working with cross-functional teams in an agile development environment.
- Excellent communication skills with the ability to effectively collaborate with technical and non-technical stakeholders.
- Analytical mindset with proficiency in data analysis and problem-solving.
- Demonstrated leadership abilities with a passion for driving innovation and delivering impactful products.
- Preferred Qualifications:Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies.