drjobs Data Program Manager

Data Program Manager

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1 Vacancy
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Job Location drjobs

Erie, PA - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Title : Data Program Manager

Location: ERIE PA Onsite


The Data Program Manager will be the key driver and enabler to deliver Data capabilities required for Enterprise Transformations .

The Data Program 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 daytoday 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.

KEY ACCOUNTABILITIES:
Work in close collaboration with project sponsors and stakeholders to ensure appropriate definition of project goals deliverables and acceptance criteria.
Daytoday 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 standups 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 replanning 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 datadriven 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:
Min 15 years work experience in 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
Techsavvy and good understanding of recent technologies incl. Azure cloud API inclusion of unstructured data 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 business owner
Customer oriented attitude
High degree of selfmotivation
Experience managing third party relationships in the successful achievement of customer deliveries.
Demonstrated track record of delivering high quality projects & programs up to medium to large sized accounts.
Demonstrated experience in 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 medlarge 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

Employment Type

Full Time

Company Industry

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