Sr IT Delivery Manager

Job highlights

• 15+ years of delivery,program,or project management experience (consulting,tech,or product scale preferred).

Job Description

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 delivery-managing 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.