Job summary
As a Product Engineering Manager you will play a pivotal role in driving the strategic direction and execution of product development initiatives. You will leverage your expertise in machine learning and artificial intelligence to enhance CRM-Sales processes. Collaborating with cross-functional teams you will ensure the delivery of innovative solutions that align with business objectives and contribute to the companys growth. 3.Experience : 13to17yrs 4.Required Skills : Technical Skills : Ar
Responsibilities
- Lead the product engineering team in developing cutting-edge solutions that integrate machine learning and artificial intelligence to optimize CRM-Sales processes - Oversee the strategic planning and execution of product development initiatives to ensure alignment with business goals - Provide guidance and mentorship to team members fostering a collaborative and innovative work environment - Collaborate with cross-functional teams to identify opportunities for product enhancements and drive continuous improvement - Ensure the delivery of high-quality products by implementing best practices in software development and project management - Analyze market trends and customer feedback to inform product strategy and prioritize development efforts - Develop and maintain strong relationships with stakeholders to ensure alignment and support for product initiatives - Monitor and report on product performance using analytics to drive decision-making and optimize outcomes - Facilitate effective communication and collaboration across teams to ensure seamless integration of product features - Implement processes to streamline product development and reduce time-to-market - Drive innovation by staying abreast of emerging technologies and industry trends - Ensure compliance with industry standards and regulations in all product development activities - Champion a culture of excellence and continuous learning within the product engineering team. Qualifications - - Demonstrate expertise in strategic leadership machine learning CRM-Sales and artificial intelligence - Possess strong analytical skills with a focus on leveraging data to drive product decisions - Exhibit proficiency in managing cross-functional teams and fostering collaboration - Showcase experience in software development and project management best practices - Have a proven track record of delivering high-quality products that meet business objectives - Display strong communication skills to effectively engage with stakeholders and team members - Demonstrate a commitment to continuous learning and staying updated with industry trends - Possess a background in analytics as a nice-to-have domain skill - Exhibit adaptability to work in a hybrid model with a focus on day shifts - Show a proactive approach to identifying opportunities for product improvement - Demonstrate the ability to lead and inspire teams towards achieving strategic goals - Possess a strong understanding of market dynamics and customer needs - Showcase a commitment to driving innovation and excellence in product engineering. 9
About us
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
