Do you have a strong background in data science and machine learning?
Have you led large machine learning and software engineering implementations?
Does the idea of driving the strategic vision for predictions and recommendations for a large global company excite you?
Then you could be at the helm of a transformational artificial intelligence program for an industry leading staffing organization.
The Delivery Manager (DM) for Connected Recommendations is responsible for planning, leading, organizing, and motivating cross-functional teams to achieve a high level of performance and quality in delivering exceptional business value to users. The DM is accountable for the delivery of all AI recommendations products and services to our internal and external customers.
Provides thought leadership and direction to all aspects of Recommendations products and services, and partners with peers, vendors, and the business to ensure roadmaps align with business strategy
Establishes direction and clear sense of meaning to inspire teams in creating their own connection and passion to the business goals; orients others around a shared vision for delivering AI recommendation engines and platforms to the business
Manages concurrent, high visibility products/projects/services using agile methods in a fast-paced environment that may cross multiple business divisions; blends traditional project management principles and practices with agile development approach to fit large, enterprise-level initiatives
Identifies risks, mitigation plans, operational readiness criteria, deployment success factors, and drives deliverables for production launches
Develops/maintains/delivers methods to measure customer satisfaction, engine performance, and business value; obtains feedback to ensure that efforts are meeting customer expectations for time, cost and quality
Maintains overarching responsibility for executing best practices approaches and methodologies with the Scaled Agile Framework (SAFe) for the support and sustainability of solutions
Supervisory or Managament Responsibility:
Management responsibility for the team, including hiring, leadership, development and accountability for performance.
Plans and develops people organization including but not limited to: coaching and mentoring, succession planning, proactive identification of resource gaps, etc. for a team of direct and indirect reports.
Drives team to improve cycle time and speed to market.
Approves and reviews budgets and operational expenditures.
Shares fiscal responsibility for the organizations technology investments and future planning of the organizations spend, to avoid unnecessary and duplicative services and to maximize ROI.
Establishes clear cost-of-service model, and drives business cases for taking cost out of transactional processes through automation
Maintains relationships with key vendors and outcomes of partnerships in terms of deliverables and consultation