Data Project Manager

Lead enterprise Data and AI initiatives from initiation to production

As a Data Project Manager at Ideas2IT, you'll bridge business objectives, clients and engineering teams to successfully deliver enterprise-scale Data and AI initiatives.

You'll work with Data Architects, Data Engineers, Cloud Engineers, Product Managers and business stakeholders, owning delivery from project initiation through production with a focus on quality, predictability, stakeholder satisfaction and business impact.

What you'll actually do as a Data Project Manager with us

Lead end-to-end delivery of enterprise Data Engineering and Cloud Data Platform projects

Manage cross-functional teams of Data Engineers, Data Architects, Cloud Engineers, QA and Product teams

Work with clients to understand business requirements and translate them into executable delivery plans

Drive Agile project execution while ensuring scope, quality, timelines and budgets are met

Work alongside Data Architects to deliver scalable, cloud-native data platforms on AWS, Azure or GCP

Track project risks, dependencies, resource allocation and stakeholder expectations

Ensure successful delivery of Data Warehousing, Lakehouse, ETL/ELT, Streaming and Analytics solutions

Facilitate sprint planning, backlog grooming, release planning, retrospectives and executive status reporting

Build strong client relationships through proactive communication and transparent project governance

Mentor teams, promote Agile best practices and continuously improve delivery processes

Collaborate with leadership during solutioning, estimations, RFPs and pre-sales activities

Must-haves

10+ years of overall IT experience, with 3+ years managing software delivery projects

Experience delivering Data Engineering, Data Platform, Analytics, Cloud or AI/ML projects

Strong understanding of modern data architectures, including Data Warehousing, Data Lakes and Lakehouse concepts

Exposure to cloud platforms such as AWS, Azure or GCP

Good understanding of Data Engineering technologies including Spark, PySpark, Kafka, Airflow, Data Factory, Glue, Snowflake, Redshift or Databricks

Strong knowledge of Agile delivery methodologies such as Scrum, Kanban or SAFe

Excellent stakeholder management and client communication skills

Ability to work closely with technical teams while driving business outcomes

Experience in project planning, estimation, budgeting, resource management and risk mitigation

Strong problem-solving, leadership and decision-making skills

Experience mentoring delivery teams and managing distributed engineering teams

Nice-to-haves

Exposure to AI/ML, Generative AI or Data Science projects

Understanding of Data Governance, Data Quality and Data Security practices

Experience with CI/CD and DevOps practices for Data Platforms

PMP, PRINCE2, Scrum Master, SAFe or Agile certifications

Product Management exposure

Why Ideas2IT, and why now?

Ideas2IT combines the innovation of a product startup with the stability and scale of a technology services company. You'll have the opportunity to work across multiple products, industries and technologies, solving complex business problems with talented engineering teams.

As AI transforms how organizations build products, data is the foundation of every intelligent system. You'll work on cloud-native data platforms that power Analytics, AI and next-generation digital products.

What that looks like for you

Opportunity to expand into Product Management and AI-led delivery practices

Freedom to drive innovation and influence organizational growth

Get trained and certified in Agile, Scrum, SAFe, PMP, PRINCE2 and emerging AI technologies

About Us:
Ideas2IT stands at the intersection of Technology, Business, and Product Engineering, offering high-caliber Product Development services. Initially conceived as a CTO consulting firm, we've evolved into thought leaders in cutting-edge technologies such as Generative AI, assisting our clients in embracing innovation. Our forte lies in applying technology to address business needs, demonstrated by our track record of developing AI-driven solutions for industry giants like Facebook, Bloomberg, Siemens, and others. Harnessing our product-centric approach, we've incubated several AI-based startups—including Pipecandy, Element5, IdeaRx, and Carefi. in—that have flourished into successful ventures backed by venture capital. With fourteen years of remarkable growth behind us, we're steadfast in pursuing ambitious objectives.‍

P.S. We're all about diversity, and our doors are wide open to everyone. Join us in celebrating the awesomeness of differences!