Sr. Manager, Data Science/Reliability - Location Flexible

Requisition ID # 162793 

Job Category: Compliance / Risk / Quality Assurance; Accounting / Finance; Business Operations / Strategy; Engineering / Science; Maintenance / Construction / Operations 

Job Level: Senior Manager

Business Unit: Electric Engineering

Work Type: Hybrid

Job Location: Oakland; Alameda; Alta; American Canyon; Angels Camp; Antioch; Auberry; Auburn; Avenal; Avila Beach; Bakersfield; Balch Camp; Bear Valley; Belden; Bellota; Belmont; Benicia; Berkeley; Brentwood; Brisbane; Buellton; Burney; Buttonwillow; Calistoga; Campbell; Canyon Dam; Canyondam; Capitola; Caruthers; Chico; Clearlake; Clovis; Coalinga; Colusa; Concord; Concord; Corcoran; Cottonwood; Cupertino; Daly City; Danville; Davis; Dinuba; Downieville; Dublin; Emeryville; Eureka; Fairfield; Folsom; Fort Bragg; Fortuna; Fremont; French Camp; Fresno; Fresno; Fulton; Garberville; Geyserville; Gilroy; Goodyear; Grass Valley; Guerneville; Half Moon Bay; Hayward; Hinkley; Hollister; Holt; Houston; Huron; Jackson; Kerman; King City; Lakeport; Lemoore; Lincoln; Linden; Livermore; Lodi; Loomis; Los Banos; Lower Lake; Madera; Magalia; Manteca; Manton; Mariposa; Martell; Marysville; Maxwell; Menlo Park; Merced; Meridian; Millbrae; Milpitas; Modesto; Monterey; Montgomery Creek; Morgan Hill; Morro Bay; Moss Landing; Mountain View; Napa; Needles; Newark; Newman; Novato; Oakdale; Oakhurst; Oakley; Olema; Orinda; Orland; Oroville; Palo Alto; Palo Cedro; Paradise; Parkwood; Paso Robles; Petaluma; Pioneer; Pismo Beach; Pittsburg; Placerville; Pleasant Hill; Point Arena; Potter Valley; Quincy; Rancho Cordova; Red Bluff; Redding; Richmond; Ridgecrest; Rio Vista; Rocklin; Roseville; Round Mountain; Sacramento; Salida; Salinas; San Bruno; San Carlos; San Francisco; San Francisco; San Jose; San Luis Obispo; San Mateo; San Rafael; San Ramon; San Ramon; Sanger; Santa Cruz; Santa Maria; Santa Nella; Santa Rosa; Selma; Shaver Lake; Sonoma; Sonora; South San Francisco; Springville; Stockton; Storrie; Taft; Tracy; Turlock; Twain; Ukiah; Vacaville; Vallejo; Walnut Creek; Wasco; Watsonville; West Sacramento; Wheatland; Whitmore; Willits; Willow Creek; Willows; Windsor; Winters; Woodland; Yuba City

 

 

Position Summary: 
This position reports to the Sr Director, System Performance, Reliability & Resilience Strategy and is responsible for the following:
•    Developing predictive analytical models
•    Just in time replacement 
•    Asset replacement prioritization 
•    Identifying trends and focus areas based on asset classes, regions, etc. 
•    Developing tools for engineering and operational usage to drive reliability

 

PG&E is providing the salary range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job.  The actual salary paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, and internal equity.  Although we estimate the successful candidate hired into this role will be placed towards the middle or entry point of the range, the decision will be made on a case-by-case basis related to these factors.

 

A reasonable salary range is:

• Minimum Base Salary (Bay Area)    $170,000.00
• Mid Base Salary (Bay Area)    $230,000.00
• Maximum Base Salary (Bay Area)    $290,000.00

 

• Minimum Base Salary (California)    $162,000.00
• Mid Base Salary (California)    $219,000.00
• Maximum Base Salary (California)    $276,000.00

  
Job Responsibilities:  
•    Develops and builds high performing teams by setting goals, developing, and managing work resources, and ensuring the team has adequate tools, training, and technology to successfully deliver outcomes.
•    Works with enterprise leaders to identify and solve complex business problems requiring the implementation of data science, machine learning and artificial intelligence.
•    Ensures standards and processes are implemented to improve quality and timeliness of machine learning/artificial intelligence/optimization models.
•    Develops and implements frameworks to validate models, methodologies, as well as communicate results.
•    Acts as peer reviewer for complex code scripts and model development for broad scope projects. Reviews and approves the maturity for release of technical features in data science products.
•    Conducts risk-evaluation studies on machine learning/artificia