Delivery Leader
Listed on 2026-04-23
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IT/Tech
AI Engineer (Applied/Software), Data Science Manager, Product Engineer
About Cognida.ai
Our Purpose is to boost your competitive advantage using AI and Analytics.
We Deliver tangible business impact with data‑driven insights powered by AI. Drive revenue growth, increase profitability and improve operational efficiencies.
We Are technologists with keen business acumen — Forever curious, always on the front lines of technological advancements. Applying our latest learnings, and tools to solve your everyday business challenges.
We Believe the power of AI should not be the exclusive preserve of the few. Every business, regardless of its size or sector deserves the opportunity to harness the power of AI to make better decisions and drive business value.
We See a world where our AI and Analytics solutions democratise decision intelligence for all businesses. With Cognida.ai, our motto is ‘No enterprise left behind’.
PositionDelivery Leader
Location:
United States (Chicago, IL / Dallas, TX)
Delivery Leader will be responsible for overseeing the development and delivery of both AI‑powered and custom solutions for Cognida’s clients, ensuring they align with business objectives and customer needs. This hybrid role requires extensive experience in product development as well as a strong background in delivering AI solutions, with proven leadership skills to drive successful outcomes in both areas.
Key ResponsibilitiesStrategic Leadership in Product and Solution Delivery: Lead and oversee the development of both AI products and tailored solutions, ensuring alignment with business goals and customer requirements.
Manage the full lifecycle of AI product development—from ideation and design to delivery and iteration—while also ensuring timely and quality delivery of client‑specific solutions.
Collaborate closely with product teams to define roadmaps, priorities, and resource allocation for both product development and solutions deployment.
AI Product Development And Custom Solutions Delivery: Drive the development of scalable AI‑powered products, taking them from concept through to production, ensuring they meet business objectives.
For client solutions, lead the delivery of customized AI‑driven solutions that address specific customer needs and challenges.
Ensure solutions meet quality standards, regulatory requirements, and customer expectations for both product and solutions deliveries.
Cross‑functional Team Leadership: Lead, inspire, and mentor cross‑functional teams that span both product development and solutions delivery, ensuring effective collaboration across AI, engineering, data science, and business teams.
Foster a culture of innovation, continuous improvement, and accountability while maintaining a focus on quality and customer satisfaction.
Manage the resolution of challenges and escalations in both product and solution development environments.
Stakeholder Management And Client Engagement: Engage with key internal and external stakeholders, including business leaders, customers, and vendors, ensuring alignment on product and solution goals.
Collaborate with clients to understand their business problems and deliver AI‑driven solutions that meet their specific needs, fostering strong customer relationships.
Provide regular project updates to stakeholders and ensure clear communication regarding risks, milestones, and expectations.
Risk Management And Quality Assurance: Identify and manage risks in the delivery of both products and client‑specific solutions, applying proactive mitigation strategies.
Ensure that both products and solutions adhere to the highest standards of quality, compliance, and security, maintaining a focus on innovation and business impact.
Utilize robust project management tools and methodologies to track progress and ensure effective delivery.
Continuous Innovation And Process Improvement: Stay abreast of industry trends, particularly within AI and product development, to ensure Cognida remains a leader in delivering innovative solutions.
Drive process improvements across both product and solutions delivery teams, ensuring the most effective and efficient methods for delivering value to customers.
Encourage experimentation and ideation to find…
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