Technical Project Manager


Job Location:

Chennai - India

Monthly Salary: Not Disclosed
Experience Required: 5years
Posted on: 4 hours ago
Vacancies: 1 Vacancy

Job Summary

Technical Project Manager Data Cloud & AI Engagements Location: Chennai India (Hybrid) Experience: 8 years Reports to: Director of Engineering Team: Delivery / Engineering About SquareShift SquareShift is a boutique consulting firm specializing in cloud modernization data engineering AI/ML and observability. We are a Google Cloud Premier Partner Looker Delivery-Verified Partner and Elastic SI/Reseller Partner with deep expertise in BigQuery Vertex AI Looker and Elasticsearch. We deliver enterprise-grade work without the enterprise overhead selective expert-led and senior-staffed end to end. We work with ISVs SaaS companies and enterprises across financial services retail insurance and e-commerce. Our engagements span Snowflake-to-BigQuery migrations Tableau-to-Looker modernizations agentic AI products and large-scale observability rollouts. The Role We are looking for a Technical Project Manager who started their career in technology engineering QA technical support BA or similar and pivoted into project management. You are technically literate. You can sit through an architecture review and follow the conversation. But your strength is delivery not code and you have built your career on running teams and shipping outcomes. This is a deeply client-facing role. You will be the face of SquareShift to multiple clients at once running steering committees leading status calls walking senior client stakeholders through progress and decisions and handling escalations directly. Strong written and spoken communication executive presence and the ability to build trust quickly with senior client stakeholders are non-negotiable. You will run 46 concurrent engagements at different phases one in discovery two mid-build one ramping down and you need to context-switch cleanly between them. Each client will feel like you are giving them your full attention. Juggling parallel engagements without dropping balls is the core operational skill of this role. Our engagements are technical data pipelines cloud architectures AI/ML systems observability platforms. You do not need to design or build these. You need to understand the broad shape of what is being built ask sensible questions translate between engineering and the client and partner closely with your tech leads who carry the technical depth. We are a boutique. You will have ownership autonomy and impact from week one. What You Will DoOwn the client relationship across 46 concurrent engagements you are the primary point of contact the escalation path and the trusted advisor on the ground Run client governance for each engagement weekly status monthly steering committees executive updates escalations and change requests and keep all of them on track simultaneously Build executive presence with senior client stakeholders (Directors VPs CTOs) and represent SquareShift in the room with credibility and clarity Context-switch cleanly across multiple engagements at different phases discovery build stabilization ramp-down without losing thread on any of them Run delivery governance across all your engagements sprint planning milestone reviews demos retros and ensure each team has the cadence it needs Maintain a broad high-level understanding of what each team is building enough to translate progress and risks to non-technical client stakeholders Partner with tech leads on scoping and estimation your job is to ask the right questions surface assumptions and ensure delivery risks are visible; technical judgment stays with the leads Maintain a single current view of all your projects plans RAID logs resource forecasts financial health so you can answer any leadership question on any engagement at any time Flag scope creep early and manage change orders cleanly with the client Drive Agile and hybrid delivery models (Scrum Kanban milestone-based) pick the right tool for each engagement not dogma Track financial health across your portfolio burn margin utilization and partner with leadership on commercial decisions Lead pre-sales support on selected opportunities discovery questionnaires proposal walk-throughs SOW reviews (effort estimation done with tech leads) Coach delivery leads on PM rigor; raise the bar on documentation communication and predictability Improve internal delivery playbooks and governance templates as the firm scales What We Are Looking For Must-haveyears total experience in IT/technology delivery with an early-career foundation in a technical role (engineering QA technical support business analysis or similar) before transitioning into project management 3 years in a directly client-facing PM TPM or delivery lead role at a consulting firm GSI or product company with a services arm you have personally owned senior client relationships not just supported them Proven track record running multiple parallel engagements (3 at a time) with distinct clients timelines and tech stacks and the operating habits to keep them all on track Strong executive presence and stakeholder management skills comfortable presenting to and pushing back on Directors VPs and CTOs on scope timeline and commercial topics Broad technical literacy you can follow a high-level conversation about cloud data or AI systems ask sensible questions and translate between engineering and business; you do not need to be hands-on Strong command of delivery methodologies Agile/Scrum Kanban milestone/waterfall and the judgment to know when to use which Excellent written and verbal communication in English you can write a crisp status update run a steering committee lead a difficult escalation call and de-escalate a tense client conversation Process-driven mindset balanced with startup pragmatism you build structure where it is missing but you do not let process become the work Result-oriented you measure success by what shipped and what the client got not by tickets closed Comfort with project tooling (Jira Confluence Asana Notion) and reporting tools (Looker Sheets Excel) Strongly preferred - - - - - Exposure to GCP BigQuery Looker Snowflake Databricks or Elasticsearch in past delivery roles Experience delivering data platform BI migration or AI/ML engagements Experience managing fixed-price and T&M engagements including commercial governance and change orders PMP PRINCE2 CSM or SAFe certification Pre-sales / solution-shaping experience Who You AreYou started your career in technology and never lost your curiosity for it but you found your strength in running teams and delivering outcomes not in writing code You are at your best in front of clients. You build trust fast communicate with clarity and stay composed when the conversation gets difficult You can hold five engagements in your head at once without dropping context each client feels like they have your full attention You partner closely with tech leads you trust their technical judgment you ask sharp questions and you make sure delivery risks get surfaced early You bring calm to chaos; when a project is on fire you are the person clients and engineers both want in the room You write well your status updates are read because they are useful not because they are mandatory You are direct: you raise risks early push back on scope creep and have hard conversations with clients and engineers when needed with respect You take ownership you do not wait for a process to exist before you solve a problem You stay curious about the modern data cloud and AI landscape we operate in Why SquareShift - - - - - Senior-led firm you will work with experts not be the only adult in the room Real ownership from week one boutique scale enterprise-grade work Diverse portfolio data engineering AI products cloud migrations observability you will not get bored Direct exposure to leadership and clients your work is visible and impactful Active investment in AI tooling and ways of working we use Claude Code Gemini and modern delivery tooling across the firm


Required Skills:

Required Skills & Experience Core Technical Skills Strong proficiency in Python SQL PySpark. Hands-on expertise with Kafka Kafka Connect Debezium Airflow Databricks. Deep experience with BigQuery Snowflake MySQL Postgres MongoDB. Solid understanding of vector data stores and search indexing. Knowledge of GCP services like Big Query Cloud Functions Cloud Run Data Flow Data Proc Data Stream etc.. Good to have Certifications: GCP Professional Data Engineer Elastic Certified Engineer AI Gemini Enterprise Vertex AI Agent Builder ADK Non-Technical & Leadership Skills Communication: Exceptional verbal and written communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences. Mentorship & Coaching: Proven experience in mentoring junior and mid-level engineers fostering a culture of continuous learning and growth. Problem-Solving: Strong analytical and debugging skills with a proactive approach to identifying and resolving technical roadblocks. Ownership & Accountability: Demonstrates a high level of responsibility for project outcomes system reliability and code quality. Agile Proficiency: Deep understanding and practical experience with Agile methodologies (Scrum/Kanban). Stakeholder Management: Ability to effectively manage expectations and build consensus across different teams. Qualifications Bachelors or Masters degree in Computer Science Engineering or a related field (or equivalent practical experience). Typically 7 years of progressive experience in data engineering with 2 years in a technical leadership or lead engineer role.

Technical Project Manager Data Cloud & AI Engagements Location: Chennai India (Hybrid) Experience: 8 years Reports to: Director of Engineering Team: Delivery / Engineering About SquareShift SquareShift is a boutique consulting firm specializing in cloud modernization data engineering AI/ML and obse...