Specialized Analytics Sr. Mgr - C13 - Bangalore

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Job Overview

The Specialized Analytics Sr. Mgr accomplishes results through the management of professional team(s) and department(s). Integrates subject matter and industry expertise within a defined area. Contributes to standards around which others will operate. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function. Requires basic commercial awareness. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Has responsibility for volume, quality, timeliness and delivery of end results of an area. May have responsibility for planning, budgeting and policy formulation within area of expertise. Involved in short-term planning resource planning. Full management responsibility of a team, which may include management of people, budget and planning, to include duties such as performance evaluation, compensation, hiring, disciplinary and terminations and may include budget approval.

Job Description Summary:

• Lead a team of data scientists  with primary responsibility of working on various tools and technologies for successful  development and implementation of AI/Gen AI/ML models on different platforms. Must be able to provide thought leadership for all data solution that includes designing, developing, and implementing Machine Learning solutions that meet and exceed expectations . Provide technical leadership, mentorship, and guidance to a team of model developers. Ensuring 100% execution accuracy.
• Have extensively worked on advanced programming language & databases (SQL,NoSQL, Teradata, etc.), Python (NumPy, Pandas, etc.), bigdata (Hue, Impala, Ozzie, etc.) and Spark. Communicate complex analytical concepts and results to both technical and non-technical audiences.
• Establish governance frameworks for model development, deployment, and monitoring to meet MRM and Fair Lending guidelines. Continuously evaluate and improve model monitoring & governance processes to adapt to changing business needs and emerging risks. Familiarity with regulatory frameworks and industry standards related to model governance and risk management, such as GDPR, CCPA, or Basel III. Strong understanding of MRM guidelines for AI/Gen AI/ML model approvals and ongoing model validation
• Strong AI/GEN AI and ML concepts and understand Pros and Cons of AI/GEN AI/ML algorithms for better model selection. Articulate complex AI/GEN AI and ML concepts in a clear manner to diverse audiences including business partners and peers. Stay abreast of the latest advancements, trends and research in AI/GEN AI and ML space. Knowledge of domain specific NLP applications and use case across various business problems.
• Understand the complexities of data analysis, machine learning and model development to guide team effectively. Overseeing the end-to-end model development lifecycle from data collection and preprocessing to model building, validation, and deployment. Ensure models are developed and deployed in timely manner with high quality and no errors. Strong collaboration among multidisciplinary teams to drive innovation.
• This role is a people manager role. The role requires to lead 5-7 data scientists , manage their career progression, conflict management, performance management, provide coaching, mentorship, and technical guidance.

Knowledge and Experience:

• Minimum 10+ years of analytics experience in core model development using AI/Gen AI/ ML techniques. Sound knowledge of model development stages and industry best practices in real time deployment
• Strong coding skill with experience working with Bigdata environments, intellectual curiosity to stay abreast of technological and data sciences advances. Strong knowledge of the pros, cons, and usage of various ML / Deep Learning applications (such as Keras, TensorFlow, Python Scikit, etc.).Strong knowledge of Python, SQL, and Big Data
• Education : Bachelor’s degree in finance/engineering/quantitative Fields (Statistics, Mathematics)/MBA. Master’s degree preferred.
• Model execution and governance experience in AI/Gen AI/ML will be preferable.
• Proficient in proactive risk mitigation, manage project pipeline to ensure prioritization and required resourcing mix.
• At least 3 years of people management experience
• Consistently sets high performance standards with right mentorship & coaching interventions for team. Ownership & accountability of career progression, performance management, IDP and conflict management. Retain talent, manage attrition, and career mobility.
• Successful candidate will have a demonstrable analytics problem solving and has the ability to deliver projects in a fast-paced environment.
• Excellent verbal and written communication skills. Communicates seamlessly across team members / stakeholders / cross-functional teams.
• Strong capability to influence business outcomes / decisions in collaboration with AIM leadership & business stakeholders. Demonstrate thought leadership in partner meetings while leading from the front to drive innovative solutions with excellent stakeholder management.
• Strong coordination and project management skills; must be able to define business requirements and create robust technical and process documentation to support activities.

Education:

• Bachelors/University degree, Master’s degree preferred

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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Job Family Group:

Decision Management

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Job Family:

Specialized Analytics (Data Science/Computational Statistics)

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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