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Engineering Director About Cognitio Analytics About Us: Website: https://www.cognitioanalytics.com/ Cognitio Analytics, founded in 2013, aims to be the preferred provider of AI / ML driven productivity solutions for large enterprises. The company has received awards for its Smart Operations and Total Rewards Analytics Solutions and is dedicated to innovation, R&D, and creating sustained value for clients. Cognitio Analytics has been recognized as a "Great Place to Work" for its commitment to fostering an innovative work environment and employee satisfaction. Our solutions include Total Rewards Analytics powered by Cognitio’s Total Rewards Data Factory, The Total Rewards Analytics solutions help our clients achieve better outcomes and higher ROI on investments in all kinds of Total Rewards programs. Our smart operations solutions drive productivity in complex operations, such as claims processing, commercial underwriting etc. These solutions, based on proprietary capabilities based on AI, advanced process and task mining, and deep understanding of operations drive effective digital transformation for our clients. Position Overview We are seeking an experienced Engineering Director to lead our development and testing teams while collaborating closely with our analytics and data engineering departments. This role will be pivotal in driving the creation of high-quality software products and applications for our customers. The ideal candidate will bring a blend of technical expertise, leadership capabilities, and a forward-thinking approach to AI implementation. Key Responsibilities Team Leadership : Lead, mentor, and develop teams of software engineers, QA specialists, and technical staff while fostering a culture of innovation and engineering excellence. Provide technical guidance to team for architectural and design decisions and review these with architects and software developers. Product Development : Oversee the entire software development lifecycle, from conceptualization to deployment, ensuring products meet customer needs and business objectives. Demonstrate leadership in building software as products. Cross-functional Collaboration : Work closely with analytics and data engineering teams to integrate data driven features and insights into software solutions. Technical Strategy : Define and implement technical roadmaps, architecture decisions, and technology selection that align with company goals. Demonstrate ability to build software solutions as multitenant products for multiple customer deployments. AI Integration : Champion the adoption of artificial intelligence and generative AI technologies in our development environment and product suite Quality Assurance : Establish robust testing frameworks and quality standards to ensure reliable, secure, and performant software Process Optimization : Implement modern engineering practices including Agile methodologies, DevOps, and continuous integration/continuous deployment (CI/CD) Customer Focus : Translate customer requirements into technical specifications and ensure solutions address market needs Innovation Leadership : Stay ahead of industry trends, particularly in AI and emerging technologies, to maintain competitive advantage Required Qualifications Bachelor’s degree in computer science, Software Engineering, or related field; master’s degree preferred 12+ years of software engineering experience with at least 5 years in leadership roles Proven track record of successfully delivering complex software products Strong understanding of modern software development practices, including Agile methodologies, CI/CD pipelines, and DevOps approaches Experience working with data engineering and analytics teams to build data-driven applications Demonstrated experience of setting up and running product development processes, customer release planning, Blue-Green deployment etc. Demonstrated knowledge of AI and generative AI technologies and their practical application in software products and for software engineering teams. Excellent communication skills with the ability to translate technical concepts for non-technical stakeholders Strong problem-solving abilities and strategic thinking Preferred Qualifications Experience in SaaS product development and cloud-native architecture Knowledge of data science workflows and machine learning operations (MLops) Background in implementing AI-driven features in commercial software products Experience with modern technology stacks (React, Node.js, Python, etc.) Understanding of security best practices and compliance requirements Prior experience in leading distributed, multi-disciplinary engineering teams History of implementing efficient software development processes and tooling What We Offer Opportunity to shape the direction of innovative AI-powered products Competitive salary and comprehensive benefits package Professional development and continuous learning opportunities Collaborative and innovative work environment Chance to work with cutting-edge technologies Flexible work arrangements "Cognitio Analytics is an equal-opportunity employer. We are committed to a work environment that celebrates diversity. We do not discriminate against any individual based on race, colour, sex, national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any factors protected by applicable law. All Cognitio employees are expected to understand and adhere to all Cognitio Security and Privacy related policies in order to protect Cognitio data and our client’s data. Our salary ranges are based on paying competitively for our size and industry and are one part of the total compensation package that also includes a bonus plan, equity, benefits, and other opportunities at Cognitio. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset." To Apply : Please submit your resume and a cover note explaining your interest in the position and how your experience aligns with our requirements. 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