Director, Artificial Intelligence & Analytics (AIA)
Indexed description
Essential Functions
- Lead and participate with their product manager in establishing the vision, strategy and tactical plan for their product line
- Provide industry expertise in all aspects of analytics, big data and the knowledge management market vertical, including market analysis, best-in-practice business processes, and technology trends currently being leveraged in the space as well as the future direction for the platform and integration product area
- Lead product management activities and report to the product manager
- Understand competitive products and landscape, crafting their production vision and roadmap accordingly
- Work directly with the product/discipline directors to ensure compliance with process and procedures outlined in the SDLC and proper priority in the evolution of their products and solutions
- Collaborate with and support Sales, Marketing, and Client Management in sales and client relationship activities related to their product area and expertise
- Engage with the Solutions and Support groups to collaborate and/or assist with implementation and product issues raised during implementations or in production support and ensure all are resolved
- Monitor and collaborate on significant engagements related to the product area to stay abreast of feature application and gain direct client feedback/input for solution enhancement/evolution
- Resolve internal and client-facing issues/conflicts
- Provide BST Global user conference content and participation
- Promote the product area by participating in speaking and publishing activities
- Brief BST Global executive leadership and fellow operations leaders on the scope, assumptions, and risks related to the delivery of their product initiatives and vision
- Leadership – Effectively enlist the aid and support of their Product team and others in achieving corporate goals and objectives
- Proactively participates in corporate leadership forums, taking ownership of corporate direction and outcomes
- Knowledge – Possess and evolve adequate and relevant knowledge specific to their product area and related function
- Establish and evolve appropriate product management processes, procedures and supporting systems
- Product Vision, Strategy & Tactical Execution – Establish product vision in harmony with and support of the corporate vision, evolve product strategy consistent with product vision, and establish and execute a tactical plan to deliver on strategy
- Resource Management – Own and progress the Product team’s organizational structure.
- Hire, mentor, complete performance appraisals, train and advise on career development.
- Promote the corporate culture and staff morale
- Collaboration – Work effectively and proactively with others to achieve shared goals and objectives
- Judgment – Consistently execute timely and reasoned judgment in concert with appropriate and considered input from others
- Five or more years of general ledger accounting experience required
- Strong understanding of core accounting principles and financial processes required
- Bachelor’s degree in accounting, finance, business, information systems or related field preferred
- Experience implementing, supporting, facilitating and/or testing financial accounting systems preferred
- Experience working with ERP platforms a plus
- Experience with project-based accounting or professional services environments a plus
- Promote, support, and embody BST Global’s company mission, strategy and values
- Foster a culture of ownership and pride in delivering the highest levels of quality and excellence
- Bachelor’s degree in a relevant area
- Advanced degree beneficial but not required
- Preferred areas of academic focus include MIS, IT management and business management
- Requires 10 or more years of experience relevant to the P&L in product management, specific relevant professional service industry experience that includes strategic and tactical leadership responsibilities
- Technical understanding of big data architectural patterns, machine learning algorithms and large language models
- Preferred experience in data platforms such as DataBricks and Microsoft Fabric
Number Supervised
0-3
Travel
Up to 25%
Classification
Exempt
Work Environment & Physical Demands
This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines.
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