Technical Project Manager

Job ID: SRJ_7863Location: Dallas, TXSalary: USD 120-145 / Yearly (Full Time)Employment Type: Full TimeCompany: SRI Tech SolutionsTitle :- Technical Project ManagerLocation: Dallas TX (day 1 onsite)Note :- we need people with finance background. Only FTETechnical Project Manager:We are seeking a highly experienced and results-driven Technical Project Manager to lead a strategic Finance Transformation initiative.This role will be responsible for standing up and delivering a large-scale, data-intensive transformation program within an agile delivery framework.The ideal candidate will have a strong background in program leadership, exposure to cloud data platforms (e.g., AWS, Snowflake), good exposure to SAP platform, understanding of end-to-end data lifecycle, and a proven track record of managing complex data initiatives with multiple stakeholders and delivery tracks.Key Responsibilities:Project Leadership & Delivery:Define the structure, governance, and roadmap for the Finance Transformation Program.Lead the end-to-end delivery of a complex, multi-workstream transformation initiative with data at its core.Establish and manage program scope, timelines, budget, and quality metrics.Drive collaboration across finance, technology, and data teams to ensure delivery alignment with strategic goals.Agile Delivery Management:Implement and champion agile delivery practices across workstreams.Coordinate agile ceremonies and ensure alignment between squads, leadership, and business stakeholders.Track deliverables, manage dependencies, and remove blockers to ensure consistent delivery momentum.Stakeholder Management:Act as the primary point of contact for senior leadership, including Finance, Data, and IT executives.Manage expectations, provide transparent reporting, and ensure alignment across business and technical teams.Facilitate executive steering committee meetings and communicate program progress, issues, and risks.Risk & Change Management:Proactively identify program risks and develop mitigation plans.Drive change management efforts to support adoption of new processes, technologies, and data models.Ensure compliance with data governance, security, and regulatory standards throughout the program lifecycle.Platform & Technical Oversight:Provide oversight and guidance for solutions leveraging modern cloud-based data platforms such as AWS and Snowflake.Knowledge and understanding of SAP Finance modules covering General Ledger, Accounts Payable, Accounts Receivable, Asset Accounting, etc.Work closely with data architects, engineers, and finance SMEs to ensure the successful implementation of target-state solutions.Qualifications Required:14-16 years of overall experience with 10+ years of experience in program or project management with at least 3-4 years focused on large-scale data transformation programs.Strong exposure to data platforms (e.g., Snowflake, AWS, Databricks), SAP Finance modules and finance domain processes.Demonstrated success in leading multi-track programs with cross-functional teams in agile delivery environments.Exceptional stakeholder management and communication skills, including experience presenting to executive leadership.Experience with budgeting, forecasting, and managing large program financials.Preferred:PMP, SAFe, or Agile certification.Experience in data cloud modernization and transformation space.Familiarity with modern data architecture principles and tools (e.g., data lakes, data mesh, ELT/ETL pipelines, BI, AI/ML).Prior experience in a consulting or large enterprise environment.Key Competencies:Strategic thinking and problem-solvingInfluencing and negotiation skillsDetail-oriented execution under pressureCollaboration and team leadershipChange leadership and adaptabilityStrong communication skills SRI Tech Solutions is an equal opportunity employer and does not discriminate on the basis of race, color, gender, religion, age, sexual orientation, national origin or citizenship status or ethnic origin, disability, marital status, veteran status, or any other occupationally irrelevant criteria.