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Data Delivery Manager

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PamTen Inc

2024-11-04 22:37:27

Job location Erie, Pennsylvania, United States

Job type: fulltime

Job industry: Transport & Logistics

Job description


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

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.

KEY ACCOUNTABILITIES:

Work in close collaboration with project sponsors and stakeholders to ensure 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:

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

Tech-savvy 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 self-motivation

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 med-large 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

Inform a friend!

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