{"id":2270537,"url":"https://alion.io/job/pandora-group-manager-pmo-mitd-data-excellence","title":"Manager, 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":94,"open_postings":4,"ghost_share":0,"stale_share":0.25,"repost_share":0,"time_to_fill_p50_days":23,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Management","role_family":"Management","seniority":"senior","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":12000,"max_usd":27000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":6387},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Machine Learning","optional":false}],"status":"live","first_seen_at":"2026-10-07T02:01:00Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-24T17:24:40Z","board_verified":true,"closed_at":null,"days_open":17,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":17},"description":"Lead the Data Initiative Portfolio (PMO) and build a Data Excellence capability that ensures trusted, decision-ready analytics. Own the end to end management of data preparation, analytics logic, data storytelling, and standardized data structure to accelerate AI delivery and adoption across strategic initiatives\nKey Responsibilities\nDATA / AI Portfolio PMO Establish and run a standard PMO governance modelfor AI initiatives: intake, prioritization, milestones, RAID (risks/actions/issues/decisions), and executive reporting packs.\nDrive stage-gate governancefor AI use cases (e.g., GO/NO-GO, UAT, Go-live readiness) and ensure decisions are supported by data readiness and measurable targets\nOwn change control and decision logic disciplineto maintain transparency, comparability, and auditability across initiatives.\nConsolidate and communicate portfolio health(benefits, delivery progress, dependencies, resource loading) for stakeholders and steering forums.\n\nData Excellence (Data Trust & Governance) Build and maintain a Data Excellence framework: data mapping, definitions/glossary alignment, ownership/RACI, and quality routines for priority AI datasets and reports.\nEstablish data transparency & accuracy routines(data quality checks, visibility, reconciliation rules) and drive corrective actions with system owners and data stewards\nEnsure AI initiatives meet data foundation requirements(clear data definition, consistent collection method, clean historical data, sufficient volume) before scaling\nAlign with enterprise governance roles across strategic/tactical/operational tiers(data owners/stewards/system owners/SMEs) to institutionalize accountability\n\nAnalytics Delivery (Decision- ready Insight & Storytelling) Lead delivery of standardized analytics products(dashboards, reporting packs, insight narratives) that translate business questions into actionable decisions.\nDefine “metrics” and standard calculation logic to ensure consistent interpretation across sites/functions.\nImprove automation of reporting and tracking to reduce manual effort and improve speed/accuracy of insights.\n\nDATA/AI Delivery Management (Vendor & Co-Development/ Adoption)Act as the business owner counterpartfor vendor/co-development: requirements definition, acceptance criteria, delivery review, and scalability readiness.\nOwn UAT planning, test scenarios, and adoption playbooks to embed AI into operational workflows and sustain usage.\nTrack and evaluate AI performance & impact(accuracy, adoption, productivity/quality outcomes) and drive continuous improvement.\n\nPeople Leadership (Build a Data Analyst Team for Future AI) Lead, coach, and develop a data analyst team(BI/analytics/data stewardship) with clear roles, standards, and career paths aligned to a “Center of Excellence” mindset. .\nSet ways of working: backlog management, peer review of metrics/logic, documentation standards, and stakeholder communication routines \nMentor team members to become strong business-technical bridges, improving stakeholder alignment and decision quality\nInfluence and guide cross-functional discussions to align on standard time processes, challenge assumptions, and promote best practices.\ncontinuous improvement and innovation.\n\nQualitifications\nBachelor’s Degree or higher in Engineer / Data Science / Statistics / Applied Math / AI or related fields\nAt least 5 years of experience in the field of PMO and/or data analytics leadership. computer vision, machine learning, or related AI roles\nDemonstrate experience establishing governance, standard report and cross functional operations coordination.\nStrong background in analytics and AI delivery lifecycle (data readiness → PoC → UAT → Go-live → scaling).\nExperience in data governance / data ownership / glossary / RACI 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