TA Lead - Neuroscience

Biopharma Careers; Hyderabad; Hybrid; INR 2,500,000 - 5,000,000; Full time

Job summary

Biopharma Careers is seeking a TA Lead - Neuroscience in Hyderabad (hybrid) to lead a high-performing analytics team. You will shape IC analytics strategy, guide reporting, and oversee system configuration to deliver actionable insights for business decisions.

Responsibilities include driving AI-enabled automation, ensuring governance and quality, and mentoring the team to build capabilities in analytics, AI, and stakeholder collaboration across onshore and offshore teams.

Qualifications

• Bachelor’s degree in business, technology, life sciences, engineering, or related field.
• 6–8 years of experience driving analytics leadership in corporate environments.
• Experience leading AI and automation initiatives with measurable impact.

Responsibilities

• Lead analytics strategy and insights delivery for IncentivesReview IC reports.
• Guide governance, quality controls, and performance management.
• Foster structured upskilling and cross-team collaboration across onshore/offshore teams.

Skills

Analytics leadership

Strategic vision

People management

Education

Bachelor’s degree

Tools

BI tools

Job description

• 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

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 IncentivesReview 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 prioritiesDrive 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.