Technical Project Manager

About QX: The QX Impact was launched with a mission to make A.I accessible and affordable and deliver AI Products/Solutions at scale for the enterprises by bringing the power of Data, AI, and Engineering to drive digital transformation. We believe without insights, businesses will continue to face challenges to better understand their customers and even lose them; Secondly, without insights businesses won't’ be able to deliver differentiated products/services; and finally, without insights, businesses can’t achieve a new level of “Operational Excellence” is crucial to remain competitive, meeting rising customer expectations, expanding markets, and digitalization. Job Summary: We are seeking an experienced and driven Technical Project Manager / Technical Delivery Manager to lead complex, high-impact data analytics and data science projects for global clients. This role demands a unique blend of project management expertise, technical depth in cloud and data technologies, and the ability to collaborate across cross-functional teams. You will be responsible for ensuring the successful delivery of data platforms, data products, and enterprise analytics solutions that drive business value. Key Responsibilities: Project & Delivery Management • Lead the full project lifecycle for enterprise-scale data platforms—including requirement gathering, development, testing, deployment, and post-production support. • Own the delivery of Data Warehousing and Data Lakehouse solutions on cloud platforms (Azure, AWS, or GCP). • Prepare and maintain detailed project plans (Microsoft Project Plan) and align them with the Statement of Work (SOW) and client expectations. • Utilize hybrid project methodologies (Agile + Waterfall) for managing scope, budget, and timelines. • Monitor key project KPIs (e.g., SLA, MTTR, MTTA, MTBF) and ensure adherence using tools like ServiceNow. Data Platform & Architecture Oversight • Collaborate with data engineers and architects to guide the implementation of scalable Data Warehouses (e.g., Redshift, Synapse) and Data Lakehouse architectures (e.g., Databricks, Delta Lake). • Ensure data platform solutions meet performance, security, and governance standards. • Understand and help manage data integration pipelines, ETL/ELT processes, and BI/reporting requirements. Client Engagement & Stakeholder Management • Serve as the primary liaison for US/UK clients; manage regular status updates, escalation paths, and expectations across stakeholders. • Conduct WSRs, MSRs, and QBRs with clients and internal teams to drive transparency and performance reviews. • Facilitate team meetings, highlight risks or blockers, and ensure consistent stakeholder alignment. Technical Leadership & Troubleshooting • Provide hands-on support and guidance in data infrastructure troubleshooting using tools like Splunk, AppDynamics, and Azure Monitor. • Lead incident, problem, and change management processes with data platform operations in mind. • Identify automation opportunities and propose technical process improvements across data pipelines and workflows. Governance, Documentation & Compliance • Create and maintain SOPs, runbooks, implementation documents, and architecture diagrams. • Manage project compliance related to data privacy, security, and internal/external audits. • Initiate and track Change Requests (CRs) and look for revenue expansion opportunities with clients. Continuous Improvement & Innovation • Participate in and lead at least three internal processes: optimization or innovation initiatives annually. • Work with engineering, analytics, and DevOps teams to improve CI/CD pipelines and data delivery workflows. • Monitor production environments to reduce deployment issues and improve time-to-insight. Must Have: • 10+ years of experience in technical project delivery, with strong focus on data analytics, BI, and cloud data platforms. • Strong hands-on experience with SQL and data warehouse technologies like Snowflake, Synapse, Redshift, BigQuery, etc. • Proven experience delivering Data Warehouse and Data Lakehouse solutions. • Familiarity with tools such as Redshift, Synapse, BigQuery, Databricks, Delta Lake. • Strong cloud knowledge with Azure, AWS, or GCP. • Proficiency in project management tools like Microsoft Project Plan (MPP), JIRA, Confluence, and ServiceNow. • Expertise in Agile project methodologies. • Excellent communication skills—both verbal and written—with no MTI or grammatical errors. • Hands-on experience working with global delivery models (onshore/offshore). Good-to-Have: • PMP or Scrum Master certification. • Understanding of ITIL processes and DataOps practices. • Experience managing end-to-end cloud data transformation projects. • Experience in project estimation, proposal writing, and RFP handling. Competencies: • Tech Savvy - Anticipating and adopting innovations in business-building digital and technology applications. • Self-Development - Actively seeking new ways to grow and be challenged using both formal and informal development channels. • Action Oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm. • Customer Focus - Building strong customer relationships and delivering customer-centric solutions. • Optimize Work Processes - Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement. Why Join Us? • Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions. • Work on impactful projects that make a difference across industries. • Opportunities for professional growth and continuous learning. • Competitive salary and benefits package. Application Details Ready to make an impact? Apply today and become part of the QX Impact team!