Manager II, Data Science and Analytics (Mumbai)

Manager II, Data Science and Analytics Experience: Not Available to Not Available years Location: Lagunilla de Heredia Skills: Python, R, SQL, machine learning, AI, statistical methods, feature engineering, MLOps, predictive analytics, optimization techniques, big data ecosystems, AWS, GCP, Azure TransUnion's Job Applicant Privacy Notice What We'll Bring: What well bring - Work from home, an environment that welcomes continued professional growth through support of tuition reimbursement, conferences and seminars. - A cooperative, innovation-driven environment where teams solve complex business problems using advanced analytics and AI - Opportunities to lead multi-team initiatives with organization-wide impact and shape strategic direction - A modern data ecosystem leveraging cloud platforms, big data technologies, and scalable ML solutions - Investment in leadership growth and continuous learning - A culture focused on mentorship, inclusion, and building high-performing teams What You'll Bring: Experience & Education - Bachelors degree in a quantitative field with 10+ years of relevant experience, or a Masters/PhD with 7+ years of experience in data science, analytics, or a related domain - Proven track record of managing teams and delivering complex, large-scale analytics or data science portfolios, driving measurable business impact - Demonstrated ability to make high-impact decisions under ambiguity, taking ownership of outcomes and effectively communicating rationale and trade-offs to diverse stakeholder groups, including senior leadership - Experience leading multiple concurrent initiatives, aligning priorities, and driving execution across cross-functional teams in dynamic environments - Strong experience in client-facing and/or cross-functional settings, with the ability to build trust and influence stakeholders across technical and business domains Technical & Analytical Skills - Strong proficiency in Python, R and SQL, with the ability to guide teams in best practices for scalable data science development - Proven experience leading the design and deployment of machine learning and AI solutions in production environments - Deep understanding of statistical methods, feature engineering, and MLOps principles; able to ensure robust, scalable, and maintainable solutions through team execution - Demonstrated success applying predictive analytics, machine learning, and optimization techniques to solve complex business problems - Expertise in end-to-end analytics lifecycle delivery, from problem framing and experimentation to deployment and monitoring - Working knowledge of big data ecosystems and cloud platforms (AWS, GCP, or Azure), with the ability to make architectural and tooling decisions - Strong ability to provide strategic and authoritative analytical guidance to senior stakeholders, influencing decisions across all phases of development (design, validation, implementation, and monitoring) Leadership & Business Skills - Proven ability to lead complex, multi-team programs and analytics portfolios, driving alignment and execution across cross-functional stakeholders - Translate business strategy into clear, prioritized analytics and data science roadmaps, balancing impact, feasibility, and scalability - Strong people leadership experience, including hiring, developing, and coaching high-performing data science teams - Exceptional business acumen with the ability to operate effectively in complex, dynamic matrix organizations; adapts quickly to evolving priorities and organizational changes - Excellent communication and influencing skills, with a proven ability to translate complex technical concepts into clear, actionable insights for executive and non-technical audiences, driving decision-making and business outcomes - Demonstrated ability to own outcomes by defining success metrics, ensuring delivery, and driving measurable business impact through data science solutions - Provide organizational leadership and analytical vision, shaping how data science drives product and business strategy at scale What wed prefer to see - Deep expertise in identity, fraud, security, or credit bureau data and solutions, with the ability to apply this knowledge to real-world product and analytics challenges - Extensive experience shaping and influencing multi-year, global product roadmaps, driving alignment across business, product, and engineering organizations - Industry experience in domains such as financial services, insurance, digital marketing, or other data-rich, regulated environments served by TransUnion Impact You'll Make: Strategic Leadership & Business Impact - Translate business strategy into a transparent, prioritized data science roadmap aligned to measurable outcomes - Own, track, and continuously optimize portfolio impact, including ROI and business value realization Delivery Excellence & .