Okay, I've searched for senior project manager roles in New York, NY within the financial services industry, full-time positions, requiring 5+ years of experience and skills in data engineering. I have found 143 positions for you.

Sure. Here's the analysis:

Job Analysis:

The PMO - Data Engineering role is fundamentally centered on bridging the gap between complex data engineering initiatives and strategic business objectives within a leading financial services client environment. This position demands not only robust project management expertise—particularly in orchestrating multiple, concurrent projects with diverse stakeholders—but also a deep technical fluency in data infrastructure, cloud-based platforms like Snowflake, and data engineering practices that underpin scalable data platforms. Given the financial services context, the role requires a strong understanding of regulatory, risk, and budgetary constraints, necessitating financial acumen and experience in budgeting and forecasting. Success in this role means effectively translating data-driven initiatives into actionable project plans, ensuring alignment with business goals, managing risks proactively, and communicating clearly across technical and non-technical teams. The candidate must be comfortable navigating ambiguity, balancing Agile and Waterfall methodologies, and using tools like Jira for rigorous project tracking. Since the role involves onsite collaboration in Manhattan three days a week, interpersonal skills and situational adaptability are critical. The ideal candidate will quickly become the linchpin ensuring data engineering projects not only launch efficiently but also deliver measurable business impact within the first 6 to 12 months.

Company Analysis:

Insight Global, representing a prominent Asset Management client in this role, operates in the financial services industry—known for its demand for precision, compliance, and data-driven decision-making. The company also reflects a strong commitment to diversity, inclusion, and equal opportunity, fostering a culture where authenticity and respect are emphasized. This environment likely values collaboration and communication, especially since the PMO role requires close coordination between data engineers, business leaders, and other cross-functional teams. The company’s established presence as a trusted staffing and consulting partner signals stability, yet the focus on cutting-edge data platforms and cloud solutions points to an organization embracing digital transformation. For the PMO, this means they will be a strategic partner in modernization efforts, requiring both technical savvy and change management skills. The role’s placement onsite underscores the importance of building relationships and driving hands-on leadership in a potentially fast-paced, evolving environment. Overall, this position offers meaningful exposure to high-impact projects within a prestigious financial services setting, demanding both grit and finesse to thrive.

Absolutely. Here are some mock interview questions that could come up:

• Behavioral: Tell me about a time when you had to manage multiple complex projects simultaneously. How did you prioritize and ensure each project met its deadlines?
• Behavioral: Describe an experience where you had to coordinate cross-functional teams with conflicting priorities. How did you achieve alignment?
• Behavioral: Share a situation where a data engineering project you managed did not go as planned. What did you learn, and how did you address the challenges?
• Behavioral: How have you handled communicating technical concepts to non-technical stakeholders in a past project?
• Technical: How do you approach managing projects that involve both Agile and Waterfall methodologies? Can you give an example?
• Technical: What experience do you have with Snowflake or similar cloud data platforms, and how have you incorporated that knowledge into project management?
• Technical: Describe your process for using Jira to track project progress and manage risks in complex data engineering projects.
• Technical: How do you integrate financial budgeting and forecasting into your project management approach, particularly in the financial services sector?
• Situational: Imagine a key data platform rollout is behind schedule due to unforeseen technical challenges. How would you communicate this to stakeholders and adjust the project plan?
• Situational: You notice that a project’s business objectives are not fully clear or seem misaligned with technical deliverables. How would you handle this ambiguity?
• Situational: If a critical team member on a data engineering project is unavailable unexpectedly, what steps would you take to mitigate the impact?
• Company Fit/Motivation: Why are you interested in working on data engineering projects within the financial services industry, and how does this align with your career goals?
• Company Fit/Motivation: How do your personal values and work style align with Insight Global’s emphasis on diversity, inclusion, and authentic work environments?
• Company Fit/Motivation: What attracts you to a role that combines both deep technical knowledge and project management within an Asset Management context?
• Questions for Interviewer: Can you describe the typical project lifecycle and team structure within the Data Engineering division here?
• Questions for Interviewer: How does Insight Global support continuous learning and professional development for PMO roles, especially around emerging data technologies?
• Questions for Interviewer: What are the biggest challenges currently facing the Data Engineering PMO team, and what are the key priorities for this role in the first 6 months?