Data Program/ Delivery Manager - W2 only

Note:

• We need a strong Data Program/Delivery Manager with an expert in the P&C Insurance Domain and experience in Data Modernization.
• The Data Program Manager will be the key driver and enabler to deliver the Data capabilities required for Enterprise Transformations.
• Minimum 15 years of work experience in the successful delivery of complex data-related projects end-to-end.

Summary:
The Data Delivery Manager will be the conduit between the Project Sponsor, Group, and business platform stakeholders and external Data delivery partners and is accountable for successfully delivering the Data-related parts of a project. The role involves coordination of the day-to-day activities, support on the prioritization of the requirements/backlog, as well as support on the strategic planning over the project lifetime. The role plays a pivotal role to the timely implementation and success of any data-related project. It also involves looking at the Enterprise roadmap, aligning the team, and determining avenues to streamline and fast-track delivery.
RESPONSIBILITIES:

• Work in close collaboration with project sponsors and stakeholders to ensure an appropriate definition of project goals, deliverables, and acceptance criteria.
• Day-to-day coordination on progress, prioritization, and problem-solving with the Enterprise Data teams.
• Support the process of documenting business requirements/user stories from stakeholders.
• Support prioritization of the requirements catalogue/user story backlog.
• Coordinate interactions with the business platforms/entities.
• Support alignment meetings like stand-ups, cadence calls, etc.
• Create detailed project plans and sprint backlogs.
• Create and deliver project work plans and revise as appropriate to meet changing needs or requirements.
• Identify resources and assign responsibilities to deliver required project outcomes.
• Oversee and control the delivery of project activity across the business.
• Drive the projects to completion, including re-planning and finding alternative approaches to overcome obstacles to project progress.
• Identify, assess, and appropriately mitigate risk to project delivery.
• Delivery of all projects within the prescribed governance structure.
• Building, tracking, maintaining, and reporting of project budgets and forecasts.
• Provide data-driven account management, project management, and sales support to clients.
• Engage with clients and prospective clients and assist with business/technical discovery and visioning sessions.

EXPERIENCE/SKILLS:

• Minimum 15 years of work experience in the successful delivery of complex data-related projects end-to-end.
• Experience in Agile or DataOps delivery, quality practices, techniques, and tools at all layers of data engineering
• Tech-savvy and good understanding of recent technologies, incl. Azure cloud API, inclusion of unstructured data, and business intelligence tools.
• Familiarity with JIRA and other prioritization tools
• Knowledge and experience with project management methodologies (Agile/Waterfall) to work with intricate, multifaceted projects.
• Excellent communication and coordination skills
• Comfortable with changing and flexible requirements from the business owner
• Customer-oriented attitude
• High degree of self-motivation
• Experience managing third-party relationships in the achievement of customer deliveries.
• Demonstrated track record of delivering high-quality projects & programs up to medium to large-sized accounts.
• Demonstrated experience in the successful delivery of complex data-related projects end-to-end.
• Ability to communicate clearly to all levels and present to senior leadership.
• Ability to lead, motivate & direct medium-sized engineering delivery teams.
• Ability to help define delivery management core processes and improvement opportunities.
• Demonstrated attentiveness to quality and productivity as outcomes.
• Advanced analytical, problem-solving, negotiation, and organizational skills.
• Ability to manage significant delivery budgets and minimize program variances.
• Strong ability to lead teams across multiple shores.
• Strong ETL skills and working experience with SSIS and related functions.
• Knowledge of data warehouse and data lake frameworks