Senior Product Manager - Analytics & AI at NICE Systems, Inc. in Atlanta, Georgia

Job Description:

NICE Actimize(a fully-owned subsidiary of NICE Systems (NASDAQ: NICE) is comprised of talented, creative and dedicated individuals with a passion for delivering innovative solutions to the market. At NICE Actimize, we recognize that every employee's contributions are integral to our company's growth and success. To find and acquire the best and brightest talent around the globe, we offer a challenging work environment, competitive compensation, and benefits, and rewarding career opportunities. Come share, grow, and learn with us - you'll be challenged, you'll have fun and you'll be part of a fast growing, highly respected organization.

Position Overview: We are seeking a highly skilled and experienced Senior AI and Analytics 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 Anti money laundering 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.

Key Responsibilities:

• 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.

• 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.

• 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.

• 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 customers, and industry experts to gather feedback and validate product concepts.

• 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.

• Bachelor's or advanced degree in computer science, engineering, data science, or related field.
• Proven track record of 7+ years in product management , with a focus on AI, machine learning, or analytics products.
• Proven experience in working directly with customers, understanding their needs, and presenting product solutions to address those needs.
• 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.

• Previous experience in anti-money laundering (AML) products or financial crime detection solutions.
• Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies.