3 Compliance Considerations Jobs

You will be responsible for overseeing the end-to-end delivery of medium to large Data and AI programs, including planning, execution, and closure. As a Delivery Director, you will collaborate with Customer teams, onsite and India teams, and act as a people manager to ensure successful project outcomes. Your role will involve developing a structure and operating model for the program, taking accountability for project success, and implementing delivery frameworks and best practices for Data and AI projects. Additionally, you will be expected to lead problem-solving efforts, provide technical expertise, and monitor project progress. Your duties will also include managing routine managerial tasks such as resource planning, hiring, coaching, mentoring, and reporting. Strong communication, presentation, and interpersonal skills will be essential as you collaborate with Data Scientists, AI Engineers, Solution Architects, and Customers to ensure technical feasibility and adherence to standards. You will be required to research best practices, drive continuous process improvement, and oversee the integration of data pipelines, AI models, and analytics solutions into operational environments. In addition to supporting margin improvement initiatives, you should be prepared to travel, meet customers, and take ownership of presales activities. Risk management will be a key aspect of your role, as you identify, monitor, and mitigate project risks to ensure successful project delivery. Promoting Agile practices and staying informed about industry trends in Data and AI will also be crucial to enhancing team performance and influencing program strategies. To qualify for this position, you should hold a Bachelor's degree in Computer Science, Data Science, Engineering, Business, or a related field. You must have at least 12 years of experience in program or project management, with a focus on Data and AI. A proven track record of delivering complex technology programs on time and within budget is required, along with strong knowledge of data engineering, AI/ML concepts, and cloud platforms, preferably in GCP. Exceptional communication, negotiation, stakeholder management skills, proficiency in project management tools, experience with Agile methodologies, and hands-on expertise in Data and AI technologies are also essential qualifications for this role. Familiarity with regulatory and compliance considerations in Data and AI, such as GDPR and AI Ethics, will be an added advantage.,

As a Senior UI/UX Designer at our fast-growing healthcare startup focused on telemedicine and digital health solutions, you will be instrumental in shaping the user experience across our ecosystem of applications. Collaborating closely with our co-founder and development team, you will be responsible for designing intuitive, accessible, and compliant user experiences that span multiple healthcare applications such as the patient app, doctor consultation platform, and partner portals. Your key responsibilities will include developing and maintaining comprehensive design systems, designing optimal workflows for patients, doctors, and healthcare partners, ensuring compliance with healthcare accessibility standards, creating interactive prototypes for user testing, and establishing a consistent visual identity across all touchpoints. In addition to your design expertise, you will need to understand and design for clinical workflows and healthcare provider needs, create empathetic interfaces for patients with varying levels of tech comfort, address healthcare data privacy requirements, and balance the needs of patients, doctors, medical stores, and administrators. Collaboration and communication will be crucial aspects of your role as you work closely with cross-functional teams, create detailed specifications for React/React Native implementation, conduct user interviews and usability testing, and iterate rapidly based on user feedback and business requirements. To be successful in this role, you should have at least 3 years of UI/UX design experience, preferably in healthcare or other regulated industries, with a portfolio showcasing complex user flows, design systems, and mobile-first design. Proficiency in design tools such as Figma is required, along with experience in creating and maintaining scalable design components and guidelines. An understanding of healthcare workflows or a willingness to learn medical terminology and processes, expertise in accessibility compliance and responsive design, and basic frontend knowledge are also essential. Soft skills like healthcare empathy, a startup mindset, strong communication skills, and a focus on user-centered design principles will set you up for success in this role. Preferred qualifications include experience with telemedicine or digital health platforms, designing for compliance-heavy industries, and mobile app design experience. In return, we offer a competitive salary, professional development opportunities in healthcare technology, a direct impact on healthcare delivery and patient outcomes, a remote-friendly work environment with flexible hours, and access to a modern tech stack and design tools. If you are passionate about creating meaningful user experiences in the healthcare industry and are excited about the opportunity to contribute to our innovative platform, we encourage you to apply for this full-time, permanent position.,

As a Data Scientist at our company, you will play a crucial role in supporting the development and deployment of machine learning models and analytics solutions that enhance decision-making processes throughout the mortgage lifecycle, spanning from acquisition to servicing. Your responsibilities will involve building predictive models, customer segmentation tools, and automation workflows to drive operational efficiency and improve customer outcomes. Collaborating closely with senior data scientists and cross-functional teams, you will be tasked with translating business requirements into well-defined modeling tasks, with opportunities to leverage natural language processing (NLP), statistical modeling, and experimentation frameworks within a regulated financial setting. You will report to a senior leader in Data Science. Your key responsibilities will include: - Developing and maintaining machine learning models and statistical tools for various use cases such as risk scoring, churn prediction, segmentation, and document classification. - Working collaboratively with Product, Engineering, and Analytics teams to identify data-driven opportunities and support automation initiatives. - Translating business inquiries into modeling tasks, contributing to experimental design, and defining success metrics. - Assisting in the creation and upkeep of data pipelines and model deployment workflows in collaboration with data engineering. - Applying techniques such as supervised learning, clustering, and basic NLP to structured and semi-structured mortgage data. - Supporting model monitoring, performance tracking, and documentation to ensure compliance and audit readiness. - Contributing to internal best practices, engaging in peer reviews, and participating in knowledge-sharing sessions. - Staying updated with advancements in machine learning and analytics pertinent to the mortgage and financial services sector. Qualifications: - Minimum education required: Masters or PhD in engineering, math, statistics, economics, or a related field. - Minimum years of experience required: 2 (or 1 post-PhD), preferably in mortgage, fintech, or financial services. - Required certifications: None Specific skills or abilities needed: - Experience working with structured and semi-structured data; exposure to NLP or document classification is advantageous. - Understanding of the model development lifecycle, encompassing training, validation, and deployment. - Familiarity with data privacy and compliance considerations (e.g., ECOA, CCPA, GDPR) is desirable. - Strong communication skills and the ability to present findings to both technical and non-technical audiences. - Proficiency in Python (e.g., scikit-learn, pandas), SQL, and familiarity with ML frameworks like TensorFlow or PyTorch.,