Project Manager (Data and Gen AI)
Project Manager (Data and Gen AI)
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Salary Not Disclosed
1 Vacancy
Job Description
Must have Skills : Stakeholder Management Project Management methodologies (Expert)
Good To Have Skills : SaFe
Looking for project manager will support data delivery to internal customer consumers for Generative AI applications through secure scalable and compliant data pipelines. Previous experience and knowledge of Data Platforms Data Ingestion Services and Data Connectors will be an asset.
- Drive End-to-End Product Delivery:
o Oversee the delivery of product increments from planning to release.
o Ensure timely and high-quality delivery of initiatives epics features in alignment with the product roadmap.
o Facilitate govern and guide planning sessions and workshops for product discovery or initiation.
o Support Product Teams in Prioritization and Estimations of Product features through various techniques like RICE KANO etc.
o Manage dependencies across squads to ensure smooth and timely progress on product deliverables.
- Facilitate Release Planning and Management:
o Work with Product Owners and chapter leads to plan and execute product releases.
o Support pre and post product release activities including L2 support alignment.
o Improve agility in processes and tools to reduce time to market and enable faster deployments to productions.
o Ensure frequent releases to gather customer feedback and iterate based on insights.
o Ensure Quality of the deliverable is maintained by tracking Defect metrics like leakage defect aging etc.
- Facilitate Risk Management:
o Identify risks that may impact product delivery and mitigate them proactively.
o Address impediments and escalate issues to stakeholders when needed.
- Metrics and Reporting:
o Track key metrics and OKRs such as velocity lead time cycle time and predictability to evaluate squads performance.
o Use data-driven insights to identify bottlenecks and areas for improvement.
o Review with Product Owners product performance (e.g. C-sat adoption product KPIs).
o Ensure product development efforts align with desired outcomes and results.
o Create dashboards and reports that provide clear visibility into product development progress for stakeholders like Portfolio leadership sponsors etc.
o Create optimize & and maintain status of Data layer for distribution across SteerCos & CTMs
- Coach on Agile Processes:
o Guide teams in adopting Agile practices like Scrum Kanban or a hybrid approach tailored to the product development context.
o Coach cross-functional teams product leaders and stakeholders to embed Agile mindsets and practices that foster adaptability autonomy and innovation. Act as a catalyst for organizational change by challenging the status quo and co-creating improved ways of working.
o Ensure Agile ceremonies (e.g. Daily scrum retrospectives planning) are productive and value driven.
o Continuous Improvement: Encourage teams to reflect on processes and identify areas for improvement during retrospectives.
o Encourage culture of inspect and adapt and failing fast through Sprint Reviews.
- Support Team Enablement:
o Fostering a Collaborative Environment: Build a psychologically safe space for team members to communicate openly and take ownership of their work. Promote a culture of accountability and self-organization.
o Encourage opportunities of Innovation and Experimentation.
o Set-up coach and improve collaboration tooling for effective collaboration
- Partner with Product Owners:
o To ensure delivery aligns with the product vision and business strategy.
o To define and track OKRs successful completion.
o In backlog prioritization to maximize business value and strategic impact.
o To identify stakeholders and actively manage expectations.
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
Company Industry
Department / Functional Area
Engineering
Key Skills
- SQL
- Data Collection
- GCP
- Master Data Management
- R
- Data Management
- Clinical Trials
- User Acceptance Testing
- Data Warehouse
- SAS
- Oracle
- Data Analysis Skills
