Tredence - Senior Manager - Data Science

Senior Manager - Data Science | 12-16 Years of Experience Job Description: We are seeking an experienced Senior Manager Data Science to lead and grow a high-performing team of Data Scientists and Analysts, while driving data-driven products, insights and AI/ML solutions. The ideal candidate will combine strong technical expertise in Machine Learning and Analytics with strategic thinking, business acumen and stakeholder management skills. Key Responsibilities: 1. Leadership & Strategy: - Lead, mentor and develop a high-performing team of Data Scientists and Analysts. - Define and execute the Data Science roadmap aligned with business objectives. - Partner with Product, Engineering and Business teams to identify and prioritize high-impact data science initiatives. - Drive adoption of data-driven decision-making across the organization. 2. Technical Leadership: - Oversee the design, development and deployment of Machine Learning models, predictive analytics, recommendation systems and AI solutions. - Establish best practices across model development, feature engineering, validation, deployment and monitoring. - Ensure data quality, reproducibility, scalability and governance across analytics initiatives. - Provide technical guidance on complex Data Science and Machine Learning problems. 3. Business Impact: - Translate complex analytical findings into actionable business insights and recommendations. - Partner with senior leadership to define KPIs, success metrics and measurable business outcomes. - Identify opportunities where Data Science and AI can improve business performance, customer experience and operational efficiency. - Champion a data-first culture across the organization. 4. People Management: - Hire, coach and retain high-quality Data Science and Analytics talent. - Set goals, conduct performance reviews and provide continuous feedback. - Build career development plans and foster a culture of learning, innovation and collaboration. - Encourage knowledge sharing and adoption of industry best practices. Required Qualifications: - 12-16 years of overall experience, with at least 3-5 years of experience leading Data Science or Analytics teams. - Strong understanding of Machine Learning, Statistics, Data Modeling and Advanced Analytics. - Hands-on experience with Python, R and SQL. - Experience with modern ML frameworks such as scikit-learn, TensorFlow or PyTorch. - Proven ability to manage Data Science projects end-to-end, from problem definition through model deployment. - Experience working with large-scale datasets and cloud platforms such as AWS, GCP or Azure. - Strong stakeholder management, communication and presentation skills. Preferred Qualifications: - Masters or PhD in Computer Science, Data Science, Statistics, Mathematics or a related field. - Experience building data products, MLOps platforms or AI-driven business solutions. - Exposure to BI and visualization tools such as Tableau, Power BI or Looker. - Knowledge of A/B testing, experimentation, causal inference and optimization techniques. Key Attributes: - Strategic thinker with strong hands-on technical expertise. - Strong business acumen and problem-solving ability. - Effective people leader with a passion for developing talent. - Data-driven, curious and innovative mindset. - Ability to influence senior stakeholders and drive data-led transformation.