{"id":2270545,"url":"https://alion.io/job/pandora-group-specialist-pmo-mitd-data-excellence","title":"Specialist, PMO MITD & Data Excellence","company":{"id":1982839,"name":"Pandora","domain":"pandoragroup.com","url":"https://alion.io/company/pandoragroup","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"A","score":88,"open_postings":4,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":22,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Management","role_family":"Management","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bangkok, Thailand"],"countries":["TH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":8500,"max_usd":20000,"period":"year","method":"role_country_seniority_unknown","sample_n":31},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Computer Vision","optional":true}],"status":"live","first_seen_at":"2026-10-07T02:01:00Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-30T06:51:16Z","board_verified":true,"closed_at":null,"days_open":23,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":23},"description":"To transform manufacturing and operational data into actionable insights by developing robust data models, dashboards, and analytics solutions. The role supports data-driven decision making, ensures data governance compliance, and enables PMO & Data Excellence initiatives across production and engineering functions.\nKey Responsibilities\nData Analytics & Insight Generation\nAnalyze manufacturing, quality, operational data, and product development data to identify trends, patterns, and improvement opportunities \nDevelop dashboards and reports (e.g., Power BI/Tableau) for real-time performance monitoring \nData Management & Governance\nEnsure data accuracy, consistency, and compliance with company data standards \nDefine and maintain data structures, data models, and quality data structure. \nCollaborate with IT/OT teams to improve data pipelines and system integration\nEnsure PDPA and internal policy compliance\nPMO & Project Analytics Support\nProvide analytics support for improvement initiatives, tracking (project performance, KPI monitoring, ROI tracking) \nDevelop standardized reporting frameworks for strategic initiatives (e.g., automation, AI, cost reduction) \nSupport strategic initiative feasibility/ business case development with data-driven insights\nAdvanced Analytics & Digital Enablement\nApply statistical methods and basic machine learning models for forecasting and optimization \nSupport AI/automation projects by preparing and validating datasets \nContribute to building a scalable data ecosystem (e.g., data lake, cloud platforms)\nCross-functional Collaboration\nWork closely with Production, Quality, Engineering, Product Development , Finance and IT dev. teams, \nTranslate business problems into data analytics solutions \nSupport stakeholder decision-making through clear data storytelling\nQualification\nBachelor’s Degree or higher in Engineering, Data Science , AI, Applied Math, Computer Engineering, Computer Science or other related fields.\nPivotal (Must-have)Strong skills in data analysis (SQL, Python, Power BI/Tableau)\nUnderstanding of data modeling, Extract , Transform, Load processes, and database structures\nExperience in manufacturing or operations data analysis\nKnowledge of statistical analysis and problem-solving techniques\nAbility to translate data into business insights and recommendations\nExperience with cloud platforms (Azure, Databricks, Fabric)\nExposure to AI/ML or predictive analytics use cases\nFamiliarity with data governance frameworks\nExperience supporting PMO or transformation projects\nProficiency in Python programming for AI/ML development \nExperience in data handling and analysis tools (e.g., NumPy, Pandas) \nBasic understanding of databases (SQL, SparkSQL) for data storage and retrieval \nExperience with version control systems (e.g., Git) \nFamiliarity with model deployment concepts (e.g., API integration, edge devices, or cloud platforms)\n\nProfessional (Nice-to-have)Hands-on experience in real-world Computer Vision or AI/ML projects \nExperience working with large-scale or complex datasets \nUnderstanding of system integration concepts (e.g., connecting models with applications or hardware) \nFamiliarity with MLOps concepts (e.g., model versioning, monitoring, retraining pipelines) \nExperience working in cross-functional teams (e.g., engineering, product, or research) \nExperience collaborating with external partners, universities, or research organizations \nUnderstanding of domain-specific applications (e.g., manufacturing, healthcare, retail, or smart cities)","description_format":"text","description_chars":3536,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Consumer 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