- Workplace
- Hybrid, Onsite
- Department
- IT
- Seniority
- Manager
- Source
- Keka
Description
Technical Delivery Manager
Location: Noida, India (on-site / hybrid)
Experience: 8-15 years, including 5+ years hands-on engineering
Working hours: Partial overlap with US time zones required
About Algoscale
Algoscale is a data and AI consulting firm, headquartered in Noida and serving US enterprise and mid-market clients. We have delivered 250+ projects across healthcare, insurance, retail, financial services, and manufacturing. We are a Microsoft Solutions Partner (Data & AI on Azure), an Anthropic Claude Partner Network member, and ISO 27001 certified.
Our work spans three technical areas: data engineering (Databricks, Microsoft Fabric, PySpark, dbt, medallion architectures), AI/ML (LLM and agentic solutions, predictive models, document intelligence), and application development.
The Role
You will own the end-to-end delivery of 3-5 concurrent client engagements. That means you are the person who decides how the work gets built, keeps the client unblocked, and keeps the team moving - without escalating every decision upward.
This is not a coordination role. You will be expected to make technical calls, disagree with an engineer's approach and say so, and defend an architecture decision to a client. If your instinct when a client goes quiet on a blocking decision is to wait, this is not the right role for you.
What You'll Own
Technical direction
- Set and defend the technical approach for your engagements - architecture, tooling, sequencing, trade-offs
- Review designs and key implementation decisions; push back when the approach is wrong
- Make the call when a decision is blocking the team and the client is unavailable, then flag it clearly
- Know when a client request is out of scope and raise it as a change request rather than absorbing it
Client communication
- Be the primary technical point of contact for your accounts
- Drive requirement clarity: chase the ambiguous answer before it becomes rework
- Run status calls, demos, and design walkthroughs with client stakeholders
- Escalate risks early and in writing, with a recommendation attached
Team leadership
- Guide a delivery pod of 4-10 engineers across data, AI, and application work
- Break scope into work items the team can actually execute against
- Unblock people daily; identify who is stuck before they tell you
- Give direct feedback on quality and pace
Planning and delivery hygiene
- Own the work breakdown structure, sprint plan, estimates, and delivery timeline
- Maintain the project in our PM tooling (Azure DevOps / Jira) so that status is legible without a meeting
- Track scope, effort burn, and margin against the SOW
- Produce the delivery documentation the client and the internal team both rely on
What We're Looking For
Required
- 8-15 years total, with 5+ years as a hands-on engineer before moving into delivery leadership. We will check this. Career project managers who acquired technical vocabulary later will not succeed here.
- Deep, current expertise in at least one of: data engineering, AI/ML, or application development - with enough credibility in the other two to lead a conversation
- Proven ownership of client-facing delivery for US or European clients: you have run the call, not just prepared the deck
- Demonstrated ability to make a technical decision under ambiguity and stand behind it
- Strong written & verbal English; you can write a clarification email that gets answered
- Comfort working without a large bench, a pricing desk, or a brand that opens doors - this is a lean firm and you will be close to the work
Preferred
- Depth in the Microsoft/Azure ecosystem (Fabric, Databricks, Unity Catalog) or equivalent AWS depth
- Experience in consulting or professional services, especially at a mid-sized firm
- Exposure to LLM/agentic solution delivery
Skills
AWSAzureDatabricksData EngineeringJiraDevOpsISO 27001