Senior Manager Data Science

Job Description

Role Overview:As a Senior Manager Data Science, you will play a crucial role in leading the technical delivery of AI-driven data applications within the Data & Analytics team, with a primary focus on Competitive Intelligence (CI). You will be responsible for overseeing the product development of AI-powered Competitive Intelligence solutions, ensuring they align with business needs and translating business requirements into actionable insights. Additionally, you will manage data integration, AI model deployment, and cloud-based infrastructure (preferably AWS) to enhance market intelligence. Your role will also involve developing automated pipelines for gathering, processing, and analyzing competitive data from various sources, ensuring high-quality, scalable, and secure data solutions.Key Responsibilities:- Lead product development of AI-powered Competitive Intelligence solutions, ensuring alignment with business needs.- Define and execute data and AI product roadmaps, translating business requirements into actionable insights.- Oversee data integration, AI model deployment, and cloud-based infrastructure (AWS preferred) to enhance market intelligence.- Develop automated pipelines for gathering, processing, and analyzing competitive data from various sources.- Ensure high-quality, scalable, and secure data solutions, leveraging modern engineering best practices.- Establish Agile delivery processes and drive developer productivity metrics.- Proactively resolve issues, mitigate risks, and optimize performance during sprints.- Directly manage and mentor team members, fostering a culture of innovation and excellence.- Maintain financial oversight and resource allocation for product teams.Qualifications Required:- Masters degree and 8 to 10 years of proven ability in Data Science, Information Systems, Computer Science, or related field; OR- Bachelors degree and 10 to 14 years of proven ability in Data Science, Information Systems, Computer Science, or related field; OR- Diploma and 14 to 18 years of proven ability in Data Science, Information Systems, Computer Science, or related field.Additional Company Details:The company expects you to oversee the end-to-end development of data products that provide actionable competitive insights, working closely with engineers, data scientists, and product teams to ensure scalable, high-quality solutions. The ideal candidate for this role should possess strong leadership skills, technical expertise in cloud-based AI solutions, and a strategic mindset for leveraging data to drive business decisions.Preferred Qualifications:- Experience in Competitive Intelligence data solutions, NLP, and predictive analytics.- Strong understanding of data visualization and dashboarding for CI insights.- Certifications in AWS, Agile, DevOps, or Scrum Master (CSM/PSM) preferred. Role Overview:As a Senior Manager Data Science, you will play a crucial role in leading the technical delivery of AI-driven data applications within the Data & Analytics team, with a primary focus on Competitive Intelligence (CI). You will be responsible for overseeing the product development of AI-powered Competitive Intelligence solutions, ensuring they align with business needs and translating business requirements into actionable insights. Additionally, you will manage data integration, AI model deployment, and cloud-based infrastructure (preferably AWS) to enhance market intelligence. Your role will also involve developing automated pipelines for gathering, processing, and analyzing competitive data from various sources, ensuring high-quality, scalable, and secure data solutions.Key Responsibilities:- Lead product development of AI-powered Competitive Intelligence solutions, ensuring alignment with business needs.- Define and execute data and AI product roadmaps, translating business requirements into actionable insights.- Oversee data integration, AI model deployment, and cloud-based infrastructure (AWS preferred) to enhance market intelligence.- Develop automated pipelines for gathering, processing, and analyzing competitive data from various sources.- Ensure high-quality, scalable, and secure data solutions, leveraging modern engineering best practices.- Establish Agile delivery processes and drive developer productivity metrics.- Proactively resolve issues, mitigate risks, and optimize performance during sprints.- Directly manage and mentor team members, fostering a culture of innovation and excellence.- Maintain financial oversight and resource allocation for product teams.Qualifications Required:- Masters degree and 8 to 10 years of proven ability in Data Science, Information Systems, Computer Science, or related field; OR- Bachelors degree and 10 to 14 years of proven ability in Data Science, Information Systems, Computer Science, or related field; OR- Diploma and 14 to 18 years of proven ability in Data Science, Information Systems, Computer Science, or related

Keyskills :
Data ScienceCompetitive IntelligenceData visualizationNLPPredictive analyticsCloudbased AI solutions