Description:
This is a high-visibility, full-time role in the delivery of large-scale analytics offerings to our enterprise Analytics-as-a-Service (AaaS) customers. This role is for professionals with a proven history of project execution with a desire to interface directly with clients. Individuals will be responsible to deliver world class data cloud architecture. Technical acumen and domain experience in data engineering, Azure, Analytics-as-a-Service (AaaS) / Platform-as-a-Service (PaaS), and data analytics are strongly preferred.
Who you are:
- Customer and user focused. You have the ability to put yourself in a users' shoes and understand their needs. You listen closely to all avenues of feedback. You love to be the voice of the customer.
- Passionate. You are dedicated to bringing innovative data products to market, ensuring that the delivery to the client is smooth and meets their needs.
- Leader. You inspire trust with team members and able to drive change in a positive and productive way. You anticipate problems and mitigate risks.
- A Ruthless Prioritizer. You treat time as a team's most valuable asset.
- Growth mindset. You enjoy learning new things and see challenges as growth opportunities. You have a passion for modern data and analytics that allows users to identify opportunity and to take meaningful action.
- Strong communicator. You are comfortable representing your team & product, delivering meaningful updates to the clients, and ensuring the requirements of the customer are coordinated with the developers and Hitachi leadership.
- Data Enthusiast. You have a strong desire to help people see and understand data.
Your responsibilities:
- Act as the delivery manager & project coordinator, interacting daily with the client, providing daily/weekly updates on the status of the Empower solution delivery.
- Manage the budget, team workload, and help prioritize tasks to create a successful delivery of the Empower Solution to our clients.
- Clearly translate the Client’s requirements into PBIs utilizing Azure DevOps with refined acceptance criteria.
- Sets ambitious but realistic goals, and productively challenges others to do the same.
- Re-frames problems in outcome-oriented terms and identifies creative solutions that optimize speed-to-value while setting up for long-term sustainability.
- Regularly identifies, experiments with, and implements new practices and processes that improve team performance.
- Regularly reflects on and revises priorities to ensure optimal overall value delivery. Creates focus for team(s) and sets boundaries with stakeholders as needed across cross-functional initiatives.
- Demonstrates sound, independent decision making in the areas of prioritization, trade-offs, upward/outward communication, expectation setting, etc.
- Communicates effectively with stakeholders who may not be familiar with domain - can build frameworks to communicate complex ideas to unfamiliar audiences.
- Proactively defines appropriate communication mechanisms, like reporting and status updates, for their domain and ensures follow-through.
Qualifications
- 8+ years of overall professional experience is REQUIRED, preferably in mostly Microsoft-centric environments
- 1+ years’ experience overseeing design, development and delivery of large-scale Data Lakehouse / Analytics projects in a Modern Data Estate Azure cloud environment is REQUIRED; experience with Analytics-as-a-Service (AaaS), Platform-as-a-Service (PaaS) or Software-as-a-Service (SaaS) is highly desired
- 1+ years as a proven leader interacting with customers (client facing) to collect requirements and manage a technical data backlog is REQUIRED; therefore you must have excellent interpersonal skills, both written and spoken, as well as a consultative/collaborative style
- Experienced in managing project budgets, keeping hours on track to the SOW, reporting on project status, and managing long-term client relationships to ensure customer success is REQUIRED
- Understanding of modern data estates, Dimensional Modeling, Azure platform (ADF, ADB, ADLS Gen2, etc) are a plus
- Skilled at leading small teams (typically 3-5 team members consisting of data architects, data engineers, application developers, business intelligence professionals, etc.) using Agile/Scrum methods is REQUIRED
- Agile/Scrum and/or project management professional certifications are a plus