Senior Manager, Thought Leadership and Insights
Buat narasi data yang mendukung rencana penjualan strategis
Sebagai Senior Manager, Thought Leadership and Insights, Anda akan mengubah analisis lanjutan, aset data internal, dan kecerdasan pasar menjadi narasi yang menarik. Narasi ini didukung data dan mendukung rencana penjualan strategis, mempengaruhi percakapan industri, dan memposisikan perusahaan sebagai pemimpin dalam pengambilan keputusan berbasis data. Anda akan bekerja di Analytics, Product, Sales, dan Marketing. Anda akan mengelola strategi kam
Kenapa Menarik?
Anda akan bekerja dengan tim Data Science untuk memvalidasi asumsi, memahami perilaku model, dan memastikan ketepatan analisis dalam wawasan yang diterbitkan.
Tanggung Jawab Utama
- Mengubah hasil analisis, output model, dan kemampuan produk menjadi narasi yang jelas dan menarik pasar yang menunjukkan nilai
- Mengembangkan perspektif industri tentang optimasi siklus kredit, data alternatif, adopsi machine learning, risiko portofolio, penipuan, dan
- Mendukung kesempatan penjualan strategis besar dengan bingkai analisis, benchmark, dan bukti berbasis data yang memperkuat proposisi nilai
- Membuat konten siap eksekutif, termasuk laporan industri, white paper, deck pengaktifan penjualan, POV klien, dan presentasi konferensi
- Bekerja dengan tim Data Science untuk memvalidasi asumsi, memahami perilaku model, dan memastikan ketepatan analisis dalam wawasan yang dite
Persyaratan
- Pengalaman 8+ tahun dalam data science, analytics, risiko kredit, strategi produk, atau konsultasi layanan keuangan
- Kemahiran Python (Pandas, NumPy, SciPy, dan pustaka visualisasi) untuk analisis eksplorasi dan generasi
- Kemahiran SQL tingkat lanjut untuk mengkueri dataset besar dan memvalidasi metrik di berbagai sumber data kompleks
- Pengalaman dalam pengambilan keputusan berbasis data, analytics, dan siklus kredit
- Pengalaman dalam menginterpretasikan metrik kinerja model (AUC, KS, lift, stabilitas) dan menerjemahkannya menjadi efek yang mungkin bagi bi
- Pemahaman tentang pertimbangan peraturan dan kepatuhan terkait penggunaan data dan analytics
Skills Wajib
Konteks Indonesia
- Overlap Jam Kerja:
- Fleksibel — atur jam kerjamu sendiri
Keywords
Lihat Deskripsi Asli dari SmartRecruiters
Deskripsi asli dari SmartRecruiters
We are looking for a credible Senior Manager to lead our team. You will transform advanced analytics, internal data assets, and market intelligence into compelling narratives. These narratives are data-backed and support strategic sales plans, influence industry conversations, and position us as a leader in data-driven decisioning. You will work across Analytics, Product, Sales, and Marketing. You will report to the VP of Analytics Product Build, Innovation, and Scores. You will be fully remote. You will manage our strategy, grounded in data analysis and empirical thoughtfulness. Use Python and SQL to independently explore datasets, validate hypotheses, and surface unique insights. Translate analytical findings, model outputs, and product capabilities into clear, market‑facing narratives that demonstrate value. Develop industry perspectives on credit lifecycle optimization, alternative data, machine learning adoption, portfolio risk, fraud, and regulatory trends. Support large strategic sales opportunities with analytical framing, benchmarks, and data‑driven proof points that strengthen value propositions. Create executive‑ready content—including industry reports, white papers, sales enablement decks, client POVs, and conference presentations. Collaborate with Data Science teams to validate assumptions, interpret model behavior, and ensure analytical rigor in published insights. Identify new industry trends using both qualitative indicators and quantitative evidence. Represent us externally, presenting Experience researching and generating leads grounded insights to senior client and industry audiences. 8+ years of experience in data science, analytics, credit risk, product strategy, or financial services consulting. Proficiency in Python (Pandas, NumPy, SciPy, and visualization libraries) for exploratory analysis generation. Advanced SQL skills for querying large datasets and validating metrics across complex data sources. Experience with data‑driven decisioning, analytics, and the credit lifecycle. Experience interpreting model performance metrics (AUC, KS, lift, stability) and translating them into business possible effects. Understanding of regulatory and compliance considerations related to data usage and analytics. Experience with large‑scale data platforms, credit attributes, scores, or decision engines. Background in client‑facing consulting, pre‑sales analytics, or strategy roles. Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. This position is also eligible for a variable pay opportunity and a comprehensive benefits package. Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. Benefits/Perks: Great compensation package and bonus plan Core benefits including medical, dental, vision, and matching 401K Flexible work environment, ability to work remote, hybrid or in-office Flexible time off including volunteer time off, vacation, sick and 12-paid holidays Explore all our exciting benefits here: https://yourexperianbenefits.com/cand-index.html #LI-Hybrid