About this role
Job Description Summary - Lead a high-performing IC team that converts data into actionable insights, enables informed decision-making, and delivers measurable business value. - Provide strategic and technical leadership across IC analytics, reporting, system configuration, key performance indicators, and operational processes. - Identify, validate, and scale responsible AI and automation opportunities that generate insights, reduce manual effort, improve quality, and strengthen operational efficiency in IC domain - Establish robust quality controls and ensure consistent adherence to governance standards, processes, and agreed ways of working. - Build a future-ready team through structured upskilling, coaching, mentoring, timely feedback, and effective performance management. - Lead strategic initiatives, set clear objectives and accountabilities, allocate resources effectively, mitigate delivery risks, and strengthen collaboration across onshore and offshore teams. - Foster an inclusive culture of accountability, innovation, continuous improvement, engagement, well-being, and high performance Job Description TA Lead - Neuroscience Location – Hyderabad #LI Hybrid Major Accountabilities: Insights and Analytics Leadership Define analytical approaches and provide guidance on key IC performance indicators, methodologies, data interpretation, and analytical processes. Independently lead deep-dive and ad hoc analyses for complex or high-priority business questions on Incentives Review IC reports to identify trends, risks, opportunities, and relevant business insights. Translate complex findings into concise, leadership-ready recommendations.
Strengthen the team’s evolution from IC report production to insight generation and decision support. AI, Automation, and Innovation Identify AI and automation opportunities that reduce manual effort, accelerate insight generation, and enable data-backed decisions. Lead the responsible validation and adoption of AI-enabled processes, considering quality, usability, scalability, and business value.
Drive process simplification and automation to improve efficiency and consistency. Delivery Excellence and Governance Ensure accurate, timely, and high-quality delivery through stringent quality controls and clear review mechanisms. Provide guidance on system configuration, reporting, processes, and established ways of working.
Ensure adherence to governance expectations and operating standards. Anticipate and mitigate risks, allocate resources efficiently, and establish clear ownership. Enable effective collaboration between onshore and offshore teams.
People and Capability Leadership Build structured upskilling roadmaps aligned with evolving analytics, AI, technical, and business needs. Set clear goals, conduct regular check-ins, and provide timely, constructive feedback. Facilitate training, certifications, mentoring, effective hiring, and onboarding.
Promote accountability, engagement, retention, well-being, and sustainable performance. Educational Requirement: Bachelor’s degree in business, technology, life sciences, engineering, or a related field is required; MBA or relevant master’s degree preferred. Minimum Experience: Minimum 6–8 years of overall experience.
Provide high-quality, business-relevant insights that support leadership decisions and strategic priorities Drive responsible adoption and scaling of AI and automation solutions to create measurable business value. Ensure outputs are accurate, timely, and aligned with defined quality standards. Strengthen governance, risk management, resource allocation, and accountability.
Deliver clear, actionable, and decision-ready recommendations to stakeholders. Build team capability in analytics, AI, and business understanding. Maintain strong team engagement, performance, and retention.
Execute strategic initiatives and continuous improvement priorities with clear ownership and measurable outcomes. Skills Desired Analytical Thinking, Brand Awareness, Business Analytics, Cross-Functional Collaboration, Digital Marketing, Media Campaigns, Project Management, Project Planning, Sales, Stakeholder Engagement, Stakeholder Management, Waterfall Model