Sr IT Delivery Manager

Blend is seeking a Senior Delivery Manager to lead complex high-impact projects that blend AI data engineering and cloud technology. You will own project success from conception through deliverymanaging timelines stakeholder expectations budgets and cross-functional teams to transform our clients most ambitious initiatives into measurable business impact.

This is a role for someone who thrives in technical complexity communicates with clarity under pressure and leads with both strategic vision and operational rigor.
 

• Project Lifecycle Leadership: Own scope schedule budget and quality from RFP through delivery.
• Financial Stewardship: Track actuals against committed budgets in RFP and SOW; identify and communicate variances to sponsors and stakeholders.
• Project Planning & Execution: Build comprehensive project plans manage Jira boards Azure DevOps or Smartsheets; decompose work into clear trackable stories.
• Resource Management: Allocate and optimize team capacity; advocate for the people and skills needed to succeed.
• Stakeholder Alignment: Conduct requirements workshops translate business needs into technical stories manage expectations and keep all parties aligned.
• Technical Partnership: Work alongside engineers data scientists and architects; understand technical feasibility and design trade-offs.

Qualifications :

Delivery & Leadership

• 15 years of delivery program or project management experience (consulting tech or product scale preferred).
• Proven track record managing multi-million-dollar projects and complex stakeholder landscapes.
• Deep expertise in financial management: budget tracking variance analysis forecasting and cost control.
• Fluency with Jira Azure DevOps Smartsheets or equivalent planning and tracking tools.

Technical Acumen (Data AI & Cloud)

• Data Engineering Fundamentals: Understand Python SQL ETL/ELT pipelines and data architecture patterns.
• Cloud Platforms: Working knowledge of Azure AWS GCP; comfort with platform selection and cost optimization.
• Data & Analytics Stack: Familiarity with Snowflake Databricks and BI tools (Tableau Power BI).
• Data Science & ML: Basic understanding of exploratory data analysis (EDA) modeling workflows and model deployment.
• Gen AI & Agentic AI: Knowledge of LLMs prompt engineering token economics RAG systems and GPU cost optimization.
• Ability to translate technical concepts into business outcomes and validate feasibility with engineering teams.

Leadership & Collaboration

• Executive Presence: Comfortable presenting to C-suite and managing high-stakes conversations.
• Requirements Clarity: Skilled at running discovery workshops translating ambiguity into actionable stories and saying no with grace.
• Adaptability: Thrive in startup speed or enterprise rigor; comfortable with ambiguity and rapid pivots.
• Ownership Mentality: You dont delegate away responsibility; you solve problems with the team.

Remote Work :

No

Employment Type :

Full-time