Senior Manager, AI Engineer

PWC

Confirmed live today High trust

Quick summary

Work type
On-site
Location
New York, NYRaleigh, NCChicago, ILCincinnati, OHCleveland, OHColumbia, SCColumbus, OHDallas, TXBaltimore, MDRichmond, VARochester, NYRosemont, ILSacramento, CABoston, MASt. Louis, MOSalt Lake City, UTSan Antonio, TXSan Diego, CASan Francisco, CASeattle, WASpartanburg, SCAlbany, NYStamford, CTTampa, FLAtlanta, GAToledo, OHTulsa, OKWashington, DCDenver, CODes Moines, IADetroit, MIBoca Raton, FLBuffalo, NYFlorham Park, NJFort Worth, TXGreensboro, NCHartford, CTHouston, TXGrand Rapids, MIIndianapolis, INIrvine, CAJacksonville, FLKansas City, MOLas Vegas, NVLittle Rock, ARLos Angeles, CALouisville, KYBirmingham, ALFayetteville, ARMelville, NYMiami, FLMilwaukee, WIMinneapolis, MNMontpelier, VTNashville, TNNew Orleans, LAPhiladelphia, PAPhoenix, AZPittsburgh, PAPortland, OR
Salary
$91,000–$321,500 / yr
Employment
Full-time
Posted
20 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $206k
This role $206k
$63k $349k
below market most similar roles pay here above market

This role pays more than 52% of similar roles. Most pay $165,000–$246,150 — the blue band above. At the midpoint, this role pays about $206k versus about $206k for comparable roles.

Based on 240 similar postings.

Employer

About PWC

PwC (PricewaterhouseCoopers) is one of the "Big Four" accounting and professional services firms, providing audit, tax, and advisory services to companies, governments, and institutions worldwide. Industry: Professional Services & Accounting

PWC currently has 101 open roles on FindRole.

Listed pay typically runs $99,000–$232,000 across 97 roles with salary data.

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View all roles at PWC

At a glance

TL;DR · Senior Manager, AI Engineer

CTIO - AI Engineer- Senior Manager will join the Internal Firm Services practice to transform raw data into actionable insights for business growth. This Senior Manager will lead the design and development of advanced data solutions, overseeing the implementation of machine learning algorithms and predictive modeling techniques. Day-to-day responsibilities include performing exploratory and descriptive analysis, creating data visualizations, and managing complex data analysis to solve business problems. The role requires utilizing programming languages, machine learning libraries, and deep learning techniques to optimize data workflows and pipelines. Candidates must apply systems thinking to identify underlying problems and opportunities within datasets. Key competencies include coaching diverse teams through ambiguity, innovating processes to enhance data quality, and collaborating with clients to validate outcomes and incorporate feedback into data solutions.

What you'll do

  • Lead the design and development of advanced data solutions to transform raw data into actionable insights.
  • Drive data-driven decision-making through exploratory analysis, descriptive analysis, and statistical modeling.
  • Oversee the implementation of machine learning algorithms and predictive modeling techniques.
  • Create data visualizations to solve complex business problems and inform strategic decisions.
  • Collaborate with clients to validate outcomes and incorporate feedback into data solutions.
  • Apply systems thinking to identify underlying problems and opportunities within large datasets.
  • Innovate processes to enhance data quality and integrity across analytics frameworks.
  • Utilize programming languages and machine learning libraries to optimize data workflows and pipelines.

What we're looking for

  • At least a Bachelor's degree.
  • At least 7 years of experience.
  • Preference for a degree in Accounting, Analytics, AI, Business, Computer Science, Engineering, Math, or related fields (preferred).
  • Advanced skills in data science algorithms, workflows, and machine learning techniques (preferred).
  • Excellence in complex data analysis and predictive modeling (preferred).
  • Ability to lead teams through ambiguity and innovate processes with data-driven decision making (preferred).
  • Ability to apply systems thinking to identify underlying problems and opportunities.
  • Ability to travel up to 20% of the time.

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