About CyborgIntell (CI): CyborgIntell is a data-to-decision, AI software company. Our next-generation end-to-end AI platform automates the entire life cycle of data science and machine learning and helps organizations rapidly develop, deploy, and operationalize AI applications at scale. Our flagship product ‘iTuring’ is designed to develop highly accurate, trusted, explainable models and deploy advanced machine learning/deep learning models in production with just a few clicks, with real-time scoring and model monitoring. It is a zero-code platform designed for anyone to accelerate their AI journey within hours instead of months. Our AutoAI platform augments data science team capabilities manifold, empowering them to be faster, consistent, accurate, and focused on solving business problems rather than coding. Headquarters: iTuring.ai has its headquarters in Bangalore, India with offices in USA and South Africa. About the Role: Designation: Director: Delivery Head & Customer Success Location: Bangalore Years of Experience: 10+ years in Fraud, risk and collection analytics Reports to: Head of Data Science Job Description: iTuring.ai is seeking a Delivery Head for our ZERO code AI platform which offers End to End data Science Machine Learning (DSML) solutions to financial services, a key leadership role within our Customer Success & Solutions Delivery team. This individual will play a pivotal role in driving business growth by working closely with the Sales, Product, and Delivery teams to develop and deliver strategic, value-driven solutions to clients. You will be responsible for Understanding business problems, customer’s pian point, conceptualizing analytics solution and Delivering End to End AI projects. The role will require deep expertise in the financial services domain, including the ability to engage with clients, understand their business challenges, and present tailored solutions. As a leader, you will mentor and guide a team of customer success professionals and help scale the organization’s efforts in this growing market. Roles & Responsibilities: • Solution Design & Strategy: o Engage with prospective clients to understand their strategic business needs and identify how data science and ML can solve their challenges. o Lead development & deployment of dynamic credit risk scorecard, fraud detection solution, customer acquisition, Next best product Recommendation solution, etc. o Develop and Implement AI strategy to impact customer’s bottom-line revenue, save cost and measure impact of AI and present to clients. o Skill in developing and analyzing product-specific solutions within banking domain varying across underwriting/monitoring loan portfolios, developing risk & collections scorecards, loss forecasting amongst others o Ability to work with key stakeholders across businesses, client portfolio teams to derive insights and calibrate model performance o Ability to present the findings of the analysis & insights to stakeholders and hold presentations o Conceptualizing feature derivation and helping data scientist to code features for modelling o Create and deliver high-impact, customized presentations, demonstrations, and proposals showcasing our Automated AI and ML capabilities. o Provide subject matter expertise on AI, ML, big data analytics, and related technologies. o Lead product demonstrations, align iTuring.ai to the vision of the customers’ goals, lead the Proof of Value process, and quantify the business impact of iTuring.ai. • Leadership & Team Management: o Lead and mentor a team of Data Scientist & Data Engineer professionals, providing guidance on best practices for solution development, client interactions, and overall customer success. o Collaborate with Sales, Delivery, and Product teams to ensure seamless handover and successful project execution. o Define the customer onboarding process and develop standardized materials and templates for RFPs, proposals, and client engagements. o Stay up to date with industry trends and emerging technologies to ensure the solutions offered are cutting-edge. o Demonstrate thought leadership and convince customer to track value generated though AI & ML Act and work as a trusted advisor on AI across the customer lifecycle; build champions by enabling customers to solve complex data science problems using iTuring.ai - including problem framing, data preparation, scripting, model building, model deployment, model management, and output consumption Qualifications & Experience: • Education: o Master’s degree or MBA and bachelor’s degree in engineering, Data Science, or a related field. • Experience: o 10+ years of experience in the field of data science, or machine learning with at least 5 years in a Solution Engineering leadership role. o Proven track record of leading successful delivery for complex AI and ML solutions, with a deep understanding of the customer onboarding process. o Strong understanding of data engineering, data analytics, artificial intelligence, and machine learning technologies. o Strong domain knowledge in developing credit risk scorecard, debt collection scorecard, customer acquisition scorecard etc. for financial services. o Ability to lead and mentor a team of data scientist & data engineer, providing coaching and growth opportunities. • Technical & Soft Skills: Technical: o Deep knowledge in designing and conceptualizing AI & ML solution, predictive modeling, and building analytics pipelines for banking or insurance. o Strong knowledge of big data technologies, cloud platforms (AWS, Azure, GCP), and analytics tools. o Familiarity with emerging trends in artificial intelligence, deep learning, NLP, and automated machine learning. Soft: o Excellent communication skills, both verbal and written, with the ability to present to executives and technical teams. o Strong problem-solving skills, with the ability to think creatively and propose innovative solutions. o Strong business acumen, with the ability to translate technical capabilities into business value. o Ability to handle complex, high-pressure situations and drive multiple opportunities to successful closures.
About CyborgIntell (CI): CyborgIntell is a data-to-decision, AI software company. Our next-generation end-to-end AI platform automates the entire life cycle of data science and machine learning and helps organizations rapidly develop, deploy, and operationalize AI applications at scale. Our flagship product iTuring is designed to develop highly accurate, trusted, explainable models and deploy advanced machine learning/deep learning models in production with just a few clicks, with real-time scoring and model monitoring. It is a zero-code platform designed for anyone to accelerate their AI journey within hours instead of months. Our AutoAI platform augments data science team capabilities manifold, empowering them to be faster, consistent, accurate, and focused on solving business problems rather than coding. Headquarters : iTuring.ai has its headquarters in Bangalore, India with offices in USA and South Africa. Designation: Product Marketing Manager Location: Bangalore Years of Experience: 8+ years in B2B product marketing, preferably within AI/ML/DS or SaaS. Reports to: COO Job Description iTuring.ai is seeking a strategic and results-driven B2B Product Marketing Manager to lead the go-to-market strategy for our ZERO code AI platform which offers End to End data Science Machine Learning (DSML) solutions to financial services. In this role, you will develop positioning, messaging, content and sales enablement strategies that drive product take up and revenue growth. You will work closely with the technical product team, sales team, and customer success teams to ensure our AI solutions resonate with key financial industry stakeholders, including banks, insurance companies, lenders and fintechs. Roles & Responsibilities: Go-to-Market Strategy & Execution oWork with the demand generation team to help develop and execute go- to-market (GTM) plans. oDefine ideal customer profiles (ICPs) within banking, insurance, lending and fintechs, and support the demand generation team with content and product positioning. oCollaborate with the technical product team to align marketing strategies with product roadmaps. oSupport sales teams with branding, collateral and execution of conferences, webinars and events. Messaging & Positioning oWork with public relations and communication companies to craft compelling messages and value propositions that highlight how iTuring's AI platform addresses key challenges in financial services. oDevelop tailored narratives for different decision makers, including data scientists, C-level executives, and risk officers. oWork with local teams and suppliers to develop localized content for media, social media, local website directories and local trade publications. Market Research & Competitive Analysis oUnderstand trends, customer needs, and competitive dynamics. oProvide insights that shape product development and marketing strategies to ensure that iTuring.ai maintains sustainable competitive advantages. oProvide information to the sales teams to manage sales discussions related to competitive advantage. Sales Enablement & Thought Leadership oDevelop sales collateral, whitepapers, case studies, and battle cards that empower the sales team to effectively communicate our AI platform's value. oTrain sales teams on product positioning and competitive differentiation. oSupport customer success teams in driving product adoption and upsell opportunities. oOversee the development of industry reports, webinars, and blog content that establish iTuring.ai as a thought leader in AI for financial services. Customer & Partner Engagement oGather customer insights and feedback to refine messaging and inform product improvements. oDevelop a partner engagement strategy to keep partners informed of key developments and to keep partners informed about iTuring.ai's sustainable competitive advantages and positioning oDevelop partner specific sales collateral and battle cards. oDevelop a iTuring.ai user community to grow the iTuring.ai brand and to support the utilization of the platform. Qualifications & Experience: Education: oMaster's Degree in Marketing or a related field. Experience: o5+ years in B2B product marketing, preferably within AI/ML/DS or SaaS. oStrong understanding of financial services, including banking, insurance, lending and fintechs. oFamiliarity with AI applications in risk assessment, fraud detection, customer analytics and similar is a plus. Skills: oAbility to translate complex AI capabilities into clear business benefits for financial services decision-makers. o Experience crafting go-to-market strategies and executing integrated marketing campaigns. oStrong storytelling, messaging, and content development skills. oProficiency in marketing automation, CRM platforms, and analytics tools. oExcellent communication skills, both verbal and written, with the ability to present to executives and technical teams. oStrong problem-solving skills, with the ability to think creatively and propose innovative solutions. o Strong business acumen, with the ability to translate technical capabilities into business value. oAbility to collaborate with a multidisciplinary team of AI experts, data scientists, sales professionals and financial services industry professionals.