Open Insights are seeking a highly motivated and experienced Data and AI Consultant / Senior Consultant to join our dynamic team. This hybrid role requires a strategic thinker with a strong technical foundation in data, AI, and IT systems. The ideal candidate will bring 8-12 years of experience in consulting, demonstrating the ability to drive data-centric initiatives, lead client engagements, and deliver transformative technology solutions. You will play a pivotal role in guiding clients through their data and AI journeys from strategy formulation and governance to implementation of advanced analytics and AI automation. Your expertise will help clients optimize their IT infrastructure, establish data governance frameworks, and adopt cutting-edge technologies to achieve measurable business outcomes. This is a high-impact role suited for professionals who thrive in cross-functional environments, are passionate about innovation, and excel at translating complex business challenges into practical, data-driven solutions. Responsibilities Strategic Data & AI Advisory: Lead the development of data and AI strategies that align with clients business objectives, enabling digital transformation and data-driven decision-making. Data & AI Strategy: Design comprehensive data and AI roadmaps, helping clients unlock insights and drive innovation through advanced analytics and automation. Data Governance Leadership: Design and implement data governance frameworks including policies, roles, processes, and tools to ensure data quality, security, compliance, and usability across the organization. Guide clients on data stewardship, metadata management, master data management (MDM), and regulatory compliance (e.g., GDPR, HIPAA). IT Infrastructure Optimization: Oversee the assessment and optimization of clients IT infrastructure, systems, and processes to enhance efficiency and scalability. Technology Consulting: Provide expert guidance on the selection, deployment, and integration of technology solutions including software, hardware, cloud, and network systems. Cross-functional Collaboration: Work closely with engineering, business, and data teams to deliver tailored, end-to-end IT solutions that meet client-specific needs. Assessment & Solution Design: Conduct detailed assessments of clients IT environments and recommend targeted improvements or transformations. AI & ML Automation: Architect and deploy machine learning and AI solutions to optimize operations, automate decision-making, and generate business insights, using best-in-class technologies and platforms. Client Relationship Management: Serve as a trusted advisor, cultivating long-term relationships with clients and providing continuous strategic support. Innovation & Best Practices: Stay ahead of industry trends in data, AI, and IT strategy, bringing new ideas and continuous improvement to client engagements and internal consulting frameworks. Workshops & Enablement: Facilitate client workshops, training sessions, and capability-building engagements to foster adoption of data and AI practices. Governance & Risk Oversight: Identify and mitigate risks related to data use, technology implementation, and regulatory compliance. Methodology Development: Contribute to the evolution of internal consulting frameworks, tools, and best practices to enhance team performance and service quality. Monitoring & Reporting: Track project progress against milestones and communicate updates to clients and leadership, ensuring transparency and alignment. Qualification Education: Bachelor s or Master s degree in Computer Science, Data Science, Business Analytics, or a related field. Experience: 8-12 years in consulting roles with a focus on data strategy, AI/ML, and project management. Technical Skills: Proficiency in data analytics tools (e.g., Python, R), machine learning frameworks (e.g., TensorFlow, scikit-learn), and data visualization platforms (e.g., Tableau, Power BI). Certifications: Relevant certifications such as PMP, Certified Data Management Professional (CDMP), or equivalent are advantageous. Soft Skills: Excellent communication, problem-solving, and interpersonal skills. Ability to work collaboratively in a team environment. Skills and Abilities Strong analytical and problem-solving skills. Excellent communication and documentation skills. Ability to work independently and as part of a team. Detail-oriented with a strong commitment to data security. Familiarity with data security tools and technologies. Preferred Qualifications Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark). Familiarity with regulatory standards related to data privacy and security (e.g., GDPR, HIPAA). Demonstrated ability to drive business development and contribute to practice growth. Apply Now HR@open-insights.com

Open Insights are seeking a highly motivated and experienced Data and AI Consultant / Senior Consultant to join our dynamic team. This hybrid role requires a strategic thinker with a strong technical foundation in data, AI, and IT systems. The ideal candidate will bring 8–12 years of experience in consulting, demonstrating the ability to drive data-centric initiatives, lead client engagements, and deliver transformative technology solutions. You will play a pivotal role in guiding clients through their data and AI journeys — from strategy formulation and governance to implementation of advanced analytics and AI automation. Your expertise will help clients optimize their IT infrastructure, establish data governance frameworks, and adopt cutting-edge technologies to achieve measurable business outcomes. This is a high-impact role suited for professionals who thrive in cross-functional environments, are passionate about innovation, and excel at translating complex business challenges into practical, data-driven solutions. Responsibilities Strategic Data & AI Advisory: Lead the development of data and AI strategies that align with clients’ business objectives, enabling digital transformation and data-driven decision-making. Data & AI Strategy: Design comprehensive data and AI roadmaps, helping clients unlock insights and drive innovation through advanced analytics and automation. Data Governance Leadership: Design and implement data governance frameworks including policies, roles, processes, and tools to ensure data quality, security, compliance, and usability across the organization. Guide clients on data stewardship, metadata management, master data management (MDM), and regulatory compliance (e.g., GDPR, HIPAA). IT Infrastructure Optimization: Oversee the assessment and optimization of clients’ IT infrastructure, systems, and processes to enhance efficiency and scalability. Technology Consulting: Provide expert guidance on the selection, deployment, and integration of technology solutions including software, hardware, cloud, and network systems. Cross-functional Collaboration: Work closely with engineering, business, and data teams to deliver tailored, end-to-end IT solutions that meet client-specific needs. Assessment & Solution Design: Conduct detailed assessments of clients’ IT environments and recommend targeted improvements or transformations. AI & ML Automation: Architect and deploy machine learning and AI solutions to optimize operations, automate decision-making, and generate business insights, using best-in-class technologies and platforms. Client Relationship Management: Serve as a trusted advisor, cultivating long-term relationships with clients and providing continuous strategic support. Innovation & Best Practices: Stay ahead of industry trends in data, AI, and IT strategy, bringing new ideas and continuous improvement to client engagements and internal consulting frameworks. Workshops & Enablement: Facilitate client workshops, training sessions, and capability-building engagements to foster adoption of data and AI practices. Governance & Risk Oversight: Identify and mitigate risks related to data use, technology implementation, and regulatory compliance. Methodology Development: Contribute to the evolution of internal consulting frameworks, tools, and best practices to enhance team performance and service quality. Monitoring & Reporting: Track project progress against milestones and communicate updates to clients and leadership, ensuring transparency and alignment. Qualifications Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Business Analytics, or a related field. Experience: 8–12 years in consulting roles with a focus on data strategy, AI/ML, and project management. Technical Skills: Proficiency in data analytics tools (e.g., Python, R), machine learning frameworks (e.g., TensorFlow, scikit-learn), and data visualization platforms (e.g., Tableau, Power BI). Certifications: Relevant certifications such as PMP, Certified Data Management Professional (CDMP), or equivalent are advantageous. Soft Skills: Excellent communication, problem-solving, and interpersonal skills. Ability to work collaboratively in a team Skills and Abilities Strong analytical and problem-solving skills. Excellent communication and documentation skills. Ability to work independently and as part of a team. Detail-oriented with a strong commitment to data security. Familiarity with data security tools and technologies. Preferred Qualifications Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark). Familiarity with regulatory standards related to data privacy and security (e.g., GDPR, HIPAA). Demonstrated ability to drive business development and contribute to practice growth.