Director - Business Analysis - AIG - London

Job description

AIG is recruiting for a Director: Business Analysis within the EMEA Science team.

This position will require strong skills in working with business stakeholders in order to draw out business requirements and understand how the outputs of the Science team can be used directly in the business. Primary responsibilities will be to:
* Creatively problem solving complex business and data challenges that others in the business or in Science cannot solve

* Take ownership of the delivery of Science projects; co-ordinating all activities and ensuring effective collaboration across the team and with business stakeholders
* Define business and technical implementation requirements for projects by working together with people across AIG; particularly owners of business processes
* Collaborate with the Science team to ensure detailed understanding of the requirements which therefore results in timely and accurate delivery

This role will report to the Head of Science EMEA / Business Partner, based in London.

The Science team is a highly matrixed organisation. While all team members have a senior supervisor, work is managed in project teams that form, and reform, dynamically as business needs evolve.

The CEO for AIG Property and Casualty created the Science team at the beginning of 2012 after recognising the power of technology, data, and computational science to transform AIG's business. The Science team reports directly to the CEO ensuring that data science is at the forefront of AIG's strategy.

The team consists of world class business minds and scientists and has been created to drive transformational change through evidence-based decision making at the company. The team has grown extremely rapidly with headcount now over 130 with plans to increase this to close to 200 by the end of 2014.

The group is highly visible and fully supported by the leadership team of AIG and has a broad and global mandate ranging from solving complex business problems to partnering with leading academics on the development of next generation modelling techniques. The group's intent is to be a centre of innovation at the company and a catalyst for change.

Performance Objectives:

* Prepare and manage to project plans
* Lead workshops and meetings to draw out an understanding of business processes and how data science outputs can fit into those processes
* Define and document business requirements and solution (business and technical) documents
* Develop financial business cases and justification
* Collaborate with data analysts to enable delivery of the business requirements
* Collaborate with quantitative analysts to enable the building of effective analytical models
* Work with business stakeholders to deliver solutions that fulfil their needs
* Come up with creative solutions to business challenges related to what the Science team is delivering
* Manage activities through appropriate mechanisms (status reports, activity and issue logs etc)
* Participate in cross-functional projects
* Application of knowledge and experience gained in other industries

Experience requirements:

* Experience of statistical modeling and/or machine learning techniques
* Implements solutions in a technical systems environment involving large datasets
* Management consulting experience is preferred
* Insurance industry experience is ideal but not essential
* Hands on project management experience including the direct management of other resources (on/offshore)
* Specific project experience and accountability that has generated direct, measurable, financial benefits with advanced statistical modeling and/or machine learning techniques as a core component
* Post graduate degree or equivalent
* Advantageous to also have an MBA qualification or equivalent

Core Skills Required:

* First class analytical and problem solving skills
* Ability to apply structured approach to solving complex, unstructured problems
* Ability to come up with creative and/or pragmatic solutions
* Stakeholder management and communication skills;
* Present complex analytical outputs to senior (Director and Board level) staff
* Ability to listen
* Able to understand stakeholder points-of-view and drivers and adjust style accordingly
* Comfortable and effective in working in teams and on own initiative
* Prepared to take ownership and accountability for deliverables
* Interest in all aspects of the insurance business and processes (e.g. underwriting, claims adjusting, finance and accounting, risk management and operations)

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